Past Events (during 2014-19)
One-Day Workshop
on
Satellite Remote Sensing and Image Analysis
Activities at the Bangalore Section IEEE GRSS Chapter
12th June 2017
Venue: Platinum Jubilee Auditorium, Indian Statistical Institute-Bangalore Centre, Indian Statistical Institute-Bangalore Centre, 8th Mile, Mysore Road, RVCE PO, Bangalore-560059
Homepages: http://www.isibang.ac.in/~ssiu, http://site.ieee.org/bangalore-grss
REGISTRATION FREE (PLEASE CONFIRM YOUR PARTICIPATION VIA EMAIL LATEST BY 08 JUNE 2017).
Please email your confirmation to bsdsagar@isibang.ac.in, saroj.meher@isibang.ac.in, ssiu@isibang.ac.in.
12th June 2017, Monday:
10:00-10:15 : REGISTRATION & COFFEE BREAK
10:15 -10:20 : Welcome Address and a few words about Indian Statistical Institute by Prof. TSSRK. Rao, Head, ISIBC 10:20-10:30 : A few words about “Bangalore Section IEEE GRSS Chapter and Introduction of Paul Rosen and William Emery” by Dr. Saroj K. Meher, SSIU, ISI-BC
10:30-11:30 : “SRTM and NISAR: Measuring Earth’s Topography and its Change” by Dr. Paul A. Rosen, JPL-NASA
11.30-11.45 : COFFEE BREAK
11.45-13.00 : “Author Education” by Prof. William J Emery, Colorado University
13.00-14.15 : LUNCH
14.15-14.45 : “Mathematical Morphological Analysis of Chandrayaan Digital Elevation Model: Some Early Results” by B. S. Daya Sagar & Athira, Indian Statistical Institute
14.45-15.15 : “Mathematical Morphology with Graph theory perspective” by Sravan Danda, Aditya Challa, Indian Statistical Institute
15.15-15.30 : COFFEE BREAK
15.30-16.00 : “Visual Analytics of Airborne Lidar Point Clouds” by Jaya Nair, International Institute for Information Technology
16.00-16.30 : “Remote Sensing Image Classification with Granular Neural Networks: Some Results and Discussion” by Saroj K. Meher and Arun Kumar, Indian Statistical Institute
16.30-17.00 : SNACKS
REGISTRATION FREE (PLEASE CONFIRM YOUR PARTICIPATION VIA EMAIL LATEST BY 08 JUNE 2017).
Please email your confirmation to bsdsagar@isibang.ac.in, saroj.meher@isibang.ac.in, ssiu@isibang.ac.in.
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IEEE Geoscience and Remote Sensing Society (GRSS) Distinguished Lectures
on
Talk 1: Adaptive Manifold Learning for Classification of Hyperspectral Data
Talk 2: Active Learning Strategies for Classification of Hyperspectral Data
by
Professor Melba M. Crawford
Associate Dean of Engineering for Research
Professor of Agronomy, Civil and Electrical and Computer Engineering
Chair of Excellence in Earth Observation
Purdue University, USA
mcrawford@purdue.edu
on
27 February 2016
at
10.30 – 11.15 hrs (Registration)
11.15 – 11.30 hrs (IEEE GRSS Introduction)
11:30 – 13.00 hrs (Talk 1)
13.15 – 14.15 (Lunch Break)
15.30 – 17.00 hrs (Talk 2)
17.15 – 17.45 hrs (Snacks Break)
Venue: Platinum Jubilee Auditorium, Indian Statistical Institute-Bangalore Centre, 8th Mile, Mysore Road, RVCE PO, PIN-560059.
Abstract of Talk 1 on Adaptive Manifold Learning for Classification of Hyperspectral Data: Hyperspectral data: potentially provide valuable information for applications such as long-term environmental monitoring and land cover change detection, but the challenge of high dimensionality compounds the problem of acquiring an adequate quantity of labeled data for supervised classification in these scenarios. Localized training data typically utilized to develop a classifier may not be fully representative of class signatures over large areas or over multiple time periods, but potentially provide useful information which can be updated to reflect local conditions in other areas or subsequent times. Nonlinear manifold learning methods provide natural capability to both accommodate nonlinear scattering and practical, robust feature extraction methods in dynamic environments data where significant spectral drift exists between images. New developments for feature extraction via global and local manifold learning and strategies for adaptive updating via semi-supervised learning and manifold alignment are proposed for “transfer learning” and evaluated using example hyperspectral data sets.
Abstract of Talk 2 on Active Learning Strategies for Classification of Hyperspectral Data: Hyperspectral data from upcoming missions will provide new opportunities for exploiting chemistry specific features to characterize targets, perform atmospheric correction, cross calibrate sensors, and develop improved land cover maps. Significant challenges remain due to correlated spectral bands, high dimensionality, and nonlinear spectral responses, as well as the quantity of data that is generated. Advanced methods in machine learning, including active learning, are promising for analysis of hyperspectral data. Active learning techniques that focus on developing informative training sets with minimal redundancy promote greater exploitation of the information in both labeled and unlabeled data, while significantly reducing the cost of data collection. New developments for feature extraction via global and local manifold learning and strategies for active learning for classification and unmixng of hyperspectral data are presented, and the impact is demonstrated using example airborne and space-based imagery.
IEEE GRSS Distinguished Lecturer’s Bio: Dr. Melba Crawford is the Purdue Professor of Excellence in Earth Observation, the Director of the Laboratory for Applications of Remote Sensing, and the Associate Dean of Engineering for Research. Previously, she was a faculty member at the University of Texas at Austin, where she founded an interdisciplinary research and applications development program in space-based and airborne remote sensing. Dr. Crawford received the B.S. and M.S. degrees in Civil Engineering from the University of Illinois, Urbana, and the Ph.D. degree in Systems Engineering from Ohio State University, Columbus. Her research interests focus on development of advanced methods for image analysis, including: manifold learning, active learning, classification and unmixing, and applications of these methods to hyperspectral and LIDAR data for land cover characterization, mapping, and monitoring. She is currently leading a joint initiative between the Purdue Colleges of Agriculture and Engineering in development of advanced sensing technologies and analysis methodology for wheeled and UAV platforms. Dr. Crawford is a Fellow of the IEEE and Past President of the IEEE Geoscience and Remote Sensing Society. She was also a member of the NASA Earth System Science and Applications Advisory Committee, the NASA EO-1 Science Validation team, and the advisory committee to the NASA Socioeconomic Applications and Data Center (SEDAC). She was a Jefferson Senior Science Fellow at the U.S. Department of State, where she coordinated Science Sector activities within the U.S. National Commission to UNESCO and served as an advisor to the U.S. Ambassador to UNESCO.
REGISTRATION FREE-PLEASE CONFIRM YOUR PARTICIPATION VIA EMAIL LATEST BY 25 FEBRUARY 2016
Jointly Organized by
The Bangalore Section IEEE Geoscience and Remote Sensing Society (GRSS) Chapter,
The Systems Science and Informatics Unit (SSIU), Indian Statistical Institute-Bangalore Centre, India,
International Association for Mathematical Geosciences, Bangalore Students Chapter
Contact: bsdsagar@isibang.ac.in, ssiu@isibang.ac.in, saroj.meher@isibang.ac.in. Ph:+91-(080)-26985540.
For more details: please see the Three-Page attachment, and also see the details at http://site.ieee.org/bangalore-grss/academic-events-2
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IEEE Geoscience and Remote Sensing Society (GRSS) Lecture
on
Big Mission, Big Data, Big Science: The NASA-ISRO SAR Mission and the Use of Statistical and Machine Learning Techniques for Science and Data Analytics
by
Dr. Paul A. Rosen
Communications, Tracking, and Radar Division
Jet Propulsion Laboratory, California Institute of Technology
Pasadena, CA 91109 USA
paul.a.rosen@jpl.nasa.gov
on
23 November 2015
at
11:00 hrs
Venue: Platinum Jubilee Auditorium, Indian Statistical Institute-Bangalore Centre (http://www.isibang.ac.in)
Jointly Organized by:
The Bangalore Section IEEE Geoscience and Remote Sensing Society (GRSS) Chapter,
The Systems Science and Informatics Unit (SSIU), Indian Statistical Institute-Bangalore Centre, India,
International Association for Mathematical Geosciences, Bangalore Students Chapter
Contact: bsdsagar@isibang.ac.in, ssiu@isibang.ac.in, saroj.meher@isibang.ac.in. Ph:+91-(080)-26985540.
For more details: http://site.ieee.org/bangalore-grss/academic-events-2
Abstract: The Indian Space Research Organisation (ISRO) and the National Aeronautics and Space Administration (NASA) in the United States have embarked on the formulation of a proposed Earth-orbiting science and applications mission that will exploit synthetic aperture radar to map Earth’s surface. The mission’s primary objectives are the study of Earth land and ice deformation, and ecosystems, in areas of common interest to the US and Indian science and applications communities. The science requirements demand complete coverage of land and ice covered surfaces at fine spatial resolution, sampled at least twice (ascending and descending orbits) each 12 day repeat cycle. This leads to over 1 petabyte of raw radar data acquired each year, which expands by several factors after processing. This talk will discuss the nature of the science problems this mission is attempting to address with these spatially and temporally dense time series, and some of the statistical methods that are being employed to discovery and understand the characteristics of these unprecedented data sets, and extract scientific knowledge from the data products.
Bio: Paul Rosen is currently Project Scientist for NASA-ISRO synthetic aperture radar mission concept at the Jet Propulsion Laboratory. Until 2012, he was the manager of the Radar Science and Engineering Section and Project Scientist for the DESDynI Mission Concept at the Jet Propulsion Laboratory. His assignments at JPL have centered on scientific and engineering research and development of radar instruments and applications. Dr. Rosen was a team leader on the Shuttle Radar Topography Mission, for which he received NASA’s Exceptional Service Medal (2001) and NASA’s Exceptional Achievement Medal (2002). Prior to JPL, Dr. Rosen spent two years at Kanazawa University, Kanazawa, Japan. He received a PhD in Electrical Engineering from Stanford University and his M.S. and B.S in Electrical Engineering from University of Pennsylvania. Dr. Rosen is a visiting faculty member and lecturer at the Division of Geological and Planetary Sciences at Caltech, and has served on the UCLA Extension Program faculty. He was recently elected Fellow of the IEEE, and is a member of the American Geophysical Union. He is an author on over 40 journal and book chapter publications, and over 100 conference papers. Dr. Rosen was a Team Leader of the Shuttle Radar Topography Mission, for which he received NASA’s Exceptional Service Medal (2001) and NASA’s Exceptional Achievement Medal (2002).
REGISTRATION FREE (PLEASE CONFIRM YOUR PARTICIPATION VIA EMAIL LATEST BY 20 NOVEMBER 2015)
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IEEE GRSS Distinguished Lectures (DL) in 2015: Prof. Ya-Qiu Jin (FIEEE) of Fudan University, China and Prof. Melba M. Crawford (FIEEE) of Purdue University, USA have agreed to visit Bangalore to deliver their distinguished lectures during this year. Exact dates have yet to be finalized. Professors Ya-Qiu Jin and Melba M. Crawford are the Distinguished Lecturers of the IEEE Geoscience and Remote Sensing Society.
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TWO-WEEK DST-IEEE SUMMER SCHOOL ON MATHEMATICAL MORPHOLOGY IN GEOSCIENCES
(24 March – 08 April 2015)
Webpage: http://www.isibang.ac.in/~dst-ss-mmg
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H-K-Rama-Ramapriyan-IEEE-GRSS-DL-Talk-11-Nov-2014-Bangalore-ISI-BC (DL-Talk Brochure)
Ramapriyan-DL-Talk-11-Nov-2014 (Registration Form)
The IEEE GRSS Distinguished Lecturer Program provides GRSS Chapters with talks by experts on topics of interest and importance to the Geoscience and Remote Sensing community. The purpose of the program is to provide our members with an opportunity to learn about the work being done in our discipline and to meet some of the prominent members of our Society.
IEEE Geoscience and Remote Sensing Society (GRSS) Distinguished Lecture
on
Earth Science Informatics: An Overview
by
Dr. Hampapuram Kasturi Ramapriyan, Chief Science Research Advisor, Science Systems and Applications, Inc., USA, Hampapuram.Ramapriyan@ssaihq.com
on
11 November 2014
at
15:30 hrs
Venue: Platinum Jubilee Auditorium, Indian Statistical Institute-Bangalore Centre
Abstract: Over the last 10-15 years, significant advances have been made in information management, there are an increasing number of individuals entering the field of information management as it applies to Geoscience and Remote Sensing data, and the field of “informatics” has come to its own. Informatics is the science and technology of applying computers and computational methods to the systematic analysis, management, interchange, and representation of science data, information, and knowledge. Informatics also includes the use of computers and computational methods to support decision making and applications. Earth Science Informatics (ESI, a.k.a. geoinformatics) is the application of informatics in the Earth science domain. ESI is a rapidly developing discipline integrating computer science, information science, and Earth science. Major national and international research and infrastructure projects in ESI have been carried out or are on-going. Notable among these are: the Global Earth Observation System of Systems (GEOSS), the European Commission’s INSPIRE, the U.S. NSDI and Geospatial One-Stop, the NASA EOSDIS, and the NSF DataONE, EarthCube and Cyberinfrastructure for Geoinformatics. More than 18 departments and agencies in the U.S. federal government have been active in Earth science informatics. All major space agencies in the world, have been involved in ESI research and application activities. In the United States, the Federation of Earth Science Information Partners (ESIP), whose membership includes nearly 150 organizations (government, academic and commercial) dedicated to managing, delivering and applying Earth science data, has been working on many ESI topics since 1998. The Committee on Earth Observation Satellites (CEOS)’s Working Group on Information Systems and Services (WGISS) has been actively coordinating the ESI activities among the space agencies. The talk will present an overview of current efforts in ESI, the role members of IEEE GRSS play, and discuss recent developments in data preservation and provenance.
IEEE GRSS Distinguished Lecturer’s Bio: Dr. H. K. “Rama” Ramapriyan is Chief Science Research Advisor, Science Systems and Applications, Inc. USA. He recently retired from NASA’s Goddard Space Flight Center. He was the Assistant Project Manager of the Earth Science Data and Information System (ESDIS) Project at NASA’s Goddard Space Flight Center. He has over 40 years of managerial and technical experience in science data systems development, image processing, remote sensing, parallel processing, algorithm development, science data processing, archiving and distribution. The ESDIS Project develops and operates one of the largest civilian science data systems in the world – the Earth Observing System (EOS) Data and Information System (EOSDIS) in support of NASA’s Science Mission Directorate. The ESDIS Project has been instrumental in establishing, as a part of EOSDIS, a set of Distributed Active Archive Centers (DAACs) around the US that manage NASA’s Earth science data and provide convenient access to several petabytes of data in various scientific disciplines such as land processes, oceanography, hydrology, atmospheric sciences, cryospheric studies, etc. The Project has also developed systems that facilitate “one-stop shopping” access to international data centers. Dr. Ramapriyan’s responsibilities in the Project have ranged from supervising a group of technical professionals in the design and implementation of EOSDIS and managing the early development and operation of the DAACs to providing a customer focus by interfacing with the scientific customer community to understand their requirements and assuring that the system development accommodates their requirements. He has been involved in the study of the evolution of EOSDIS for the future decade and its implementation. His most recent focus is on data preservation and stewardship. He has developed NASA’s Earth Science Data Preservation Content Specification. He is an active member of Data Stewardship Committee within the U.S. Earth Science Information Partners’ (ESIP) Federation. He represents NASA on the U.S. Global Change Research Program’s (USGCRP) Global Change Information System (GCIS) Data Management Team. Dr. Ramapriyan represents NASA on the Human Computer Interaction and Information Management (HCI&IM) Coordinating Group of the Subcommittee on Networks and Information Technology Research and Development (NITRD). He is a member of the American Geophysical Union and a Senior Member of the IEEE. During 2005-2009 he was the Co-Chair of the Data Archive and Distribution Technical Committee (DAD TC) of the IEEE Geoscience and Remote Sensing Society. During 2009-2013, he chaired the DAD TC. He is an Affiliate Faculty member at the George Mason University’s Department of Earth Systems and Geo-Information Sciences and a member of the Graduate Faculty. Dr. Ramapriyan holds a Ph. D. degree in Electrical Engineering from the University of Minnesota, M.E. and B.E. degrees in Electrical Engineering from the Indian Institute of Science, Bangalore, India, and a B.Sc. degree from University of Mysore, India. He has over 75 publications (refereed and non-refereed), has given many invited presentations, and has over 40 awards including an Exceptional Achievement Award from NASA Goddard Space Flight Center.
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Akira-Hirose-IEEE-GRSS-DL-Talk-08-Dec-2014-Bangalore-ISI-BC (DL-Talk Brochure)
Akira-Hirose-DL-Talk-08-Dec-2014 (Registration Form)
The IEEE GRSS Distinguished Lecturer Program provides GRSS Chapters with talks by experts on topics of interest and importance to the Geoscience and Remote Sensing community. The purpose of the program is to provide our members with an opportunity to learn about the work being done in our discipline and to meet some of the prominent members of our Society.
IEEE Geoscience and Remote Sensing Society (GRSS) Distinguished Lecture
on
Advanced Neural Adaptive Processing in Interferometric and Polarimetric Radar Imaging
by
Professor Akira HIROSE, Department of Electrical Engineering and Information Systems, The University of Tokyo, Japan, http://www.eis.t.u-tokyo.ac.jp/~ahirose, ahirose@ee.t.u-tokyo.ac.jp
on
08 December 2014
at
15:30 hrs
Venue: Platinum Jubilee Auditorium, Indian Statistical Institute-Bangalore Centre
Abstract: This Talk presents and discusses advanced neural networks by focusing on complex-valued neural networks (CVNNs) and their applications in the remote sensing and imaging fields. CVNNs are suitable for adaptive processing of complex-amplitude information. Since active remote sensing deals with coherent electromagnetic wave, we can expect CVNNs to work more effectively than conventional neural networks or other adaptive methods in real-number space. Quaternion (or Hypercomplex-valued) neural networks are also discussed in relation to polarization information processing. The beginning half of the Talk is devoted to presentation of the basic idea, overall framework, and fundamental treatment in the CVNNs. We discuss the processing dynamics of Hebbian rule, back-propagation learning, and self-organizing map in the complex domain. The latter half shows some examples of CVNN processing in the geoscience and remote sensing society (GRSS) fields. Namely, we present distortion reduction in phase unwrapping to generate digital elevation model (DEM) from the data obtained by interferometric synthetic aperture radar (InSAR). In polarization SAR (PolSAR), we apply quaternion networks for adaptive classification. Another example is ground penetrating radar (GPR) to visualize underground objects to distinguish specific targets in high-clutter situation. Finally we discuss the prospect of the CVNNs in the GRSS fields.
IEEE GRSS Distinguished Lecturer’s Bio: Akira Hirose (F ’13) received the Ph.D. degree in electronic engineering from the University of Tokyo in 1991. In 1987, he joined the Research Center for Advanced Science and Technology (RCAST), the University of Tokyo, as a Research Associate. In 1991, he was appointed as an Instructor at the RCAST. From 1993 to 1995, on leave of absence from The University of Tokyo, he joined the Institute for Neuroinformatics, University of Bonn, Bonn, Germany. He is currently a Professor with the Department of Electrical Engineering and Information Systems, the University of Tokyo. The main fields of his research interests are wireless electronics and neural networks. In the fields, he published several books such as Complex-Valued Neural Networks, 2nd Edition (Springer 2012). Dr. Hirose is a Fellow of the IEEE, Senior Member of the Institute of Electronics, Information and Communication Engineers (IEICE) and a member of the Japanese Neural Network Society (JNNS). He is the recipient of a number of awards such as IEEE/INNS WCCI-IJCNN Runner-up Best Paper Award (IEEE Computational Intelligence Society (CIS) 2010), Excellent Service Award (IEICE Electronics Society ES), 2008, on ES General Secretary), IEEE/INNS WCCIIJCNN Best Session Presentation Award (IEEE, INNS 2006), Excellent Service Award (IEICE Electronics Society (ES), 2006, on Electromagnetic Theory (EMT) Technical Group), and ICONIP Best Paper Award (Asia-Pacific Neural Network Assembly (APNNA), 2004). He served as the Editor-in-Chief of the IEICE Transactions on Electronics (2011-2012), an Associate Editor of journals such as the IEEE TRANSACTIONS ON NEURAL NETWORKS (2009-2011), the IEEE GEOSCIENCE AND REMOTE SENSING NEWSLETTER (2009-2012), the Chair of the Neurocomputing Technical Group in the IEICE, and the General Chair of the 2013 Asia-Pacific Conference on Synthetic Aperture Radar (APSAR 2013) in Tsukuba. He currently serves as a member of the IEEE Computational Intelligence Society (CIS) Neural Networks Technical Committee (NNTC), the Founding Chair of the NNTC Complex-Valued Neural Network Task Force, the Governing Board Member of the Asia-Pacific Neural Network Assembly, Vice President of the IEICE Electronics Society, President of the JNNS, and the IEEE GRSS Tokyo Chapter Chair.
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Workshop on
Spatial Information Analytics
Mathematical Morphological Interpolations and Pattern Recognition
28 February 2014
(organized by Bangalore Section IEEE GRSS Chapter in association with KAnOE, PES Institute of Technology, and Indian Statistical Institute-Bangalore Centre)
Venue: MCA Seminar Hall, Prof. M. R. Doreswamy Silver Jubilee Complex, PES Institute of Technology, BSK 3rd Stage, Bangalore 560085
A workshop on Spatial Information Analytics: Mathematical Morphological Interpolations and Pattern Recognition is being organized (sponsored under TEQIP-II/1.2.1) by the Centre for Knowledge Analytics and Ontological Engineering (KAnOE) in association with IEEE GRSS Bangalore Chapter and the Systems Sciences and Informatics Unit of the Indian Statistical Institute, Bangalore. The Workshop will be conducted by Dr. B. S. Daya Sagar and Dr. Saroj K. Meher of the Indian Statistical Institute, Bangalore.
Who can attend? The workshop should be of interest to students, and teachers of Computer science, Geographical Information Sciences, knowledge and Information management professionals, Faculty and students of PESIT and other engineering colleges as well as professionals from the industry. Registration is free of cost, but all participants must register online well before the event.
How to register? Please fill out the on-line registration form at http://kanoe.org/workshopregistration.html
Resource Persons
Dr. B. S. Daya Sagar (http://www.isibang.ac.in/~bsdsagar/) is Associate Professor Systems Sciences and Informatics Unit (SSIU), Indian Statistical Institute, Bangalore Centre. Dr. Daya Sagar majored in Earth Sciences and obtained his Master’s and Ph.D. degrees in Geo-engineering from Andhra University. His doctoral research was on applications of remote sensing, mathematical morphology, and fractals to study certain surface water bodies. His two-decade long research contributions have been summarised in his monograph ‘Mathematical Morphology in Geomorphology and GISci‘ (CRC Press: Boca Raton, 2013). Dr. Daya Sagar has over 80 papers of which 60 are in reputed journals; he has also authored / edited nine books and special issues of Journals. Dr. Daya Sagar has been elected a Fellow of Royal Geographical Society (2000), a Senior Member of IEEE (2003), a Fellow of the Indian Geophysical Union (2011). He is also a member of American Geophysical Union since 2003, International Association for Mathematical Geosciences since 2006. He received ‘Dr. Balakrishna Memorial award’ in 1995 from the Andhra Pradesh Academy of Sciences, ‘Krishnan Gold Medal’ in 2002 from the Indian Geophysical Union, and ‘Georges Matheron Award with Lectureship’ in 2011 from the International Association for Mathematical Geosciences. He is currently Chair of the IEEE GRSS Chair of Bangalore Section IEEE GRSS chapter. Dr. Daya Sagar has also taught in universities in Singapore and Malyasia.
Dr. Saroj K. Meher (http://www.isibang.ac.in/~saroj.meher/) is an Assistant Professor in the System Sciences and Informatics Unit of the Indian Statistical Institute, Bangalore Centre. Dr. Meher received the B.Sc. (Honours) degree in Physics from the Sambalpur University in 1990, M.Sc. degree in Physics with specialization in Electronics and Ph.D. degree in Science from the National Institute of Technology, Rourkela. He has worked as a Senior Research Scientist at R & D units of many Industries. He has also worked as a Post Doctoral Fellow and Visiting Assistant Professor at Indian Statistical Institute, Kolkata. He received the Sir. J. C. Bose memorial award of the Institute of Electronics and Telecommunication Engineers (IETE), India in the year 2003 and Orissa Young Scientist award for research in the field of Electronic Sciences & Technology for the year 2003 and Three Gold Medals from the Institute of Engineers, Orissa. His current research interests include Image processing & analysis including remote sensing imagery, Machine Learning, Pattern Recognition, Granular Computing, Computational Intelligence/Soft Computing. He has published 50 research papers in well known journals, international refereed conferences and in edited monographs. He is an elected Senior Member of IEEE.
WORKSHOP AGENDA:
Friday, 28 February 2014
9:00 – 9:30 – Registration
9:30 – 11:00 – Session 1: Introduction to Mathematical Morphology
Mathematical morphology was introduced by Georges Matheron (1975) as a part of his studies to find out the relationships between the geometry of porous media and their permeability. These were later extensively developed by Jean Serra. This session will present basics of set theory, binary morphology, various morphological operators and their’ potential applications in spatial data analysis and spatial informatics, etc.
11.00 – 11.15 Tea
11:15 – 1:15 – Session 2: Spatial Data Mining and Knowledge Discovery
Voluminous geographic data have been, and continue to be, collected with modern data acquisition techniques such as global positioning systems (GPS), high-resolution remote sensing, location-aware services and surveys, etc. There is an urgent need for effective and efficient methods to extract unknown and unexpected information from large spatial data sets of high dimensionality and complexity. Spatial data mining and geographic knowledge discovery have emerged as active research fields. The talk provides a brief overview of several common spatial data-mining tasks, including spatial classification and prediction; spatial association rule mining; spatial cluster analysis; and geo-visualization. It will also highlight recent theoretical and applied research in spatial data mining and knowledge discovery..
1:15 – 2:00 – Lunch
2:00 – 4:00 – Session 3: Mathematical Morphology in Spatial Interpolations
This session will be in 2 parts and deal with spatial interpolations of two types. These two include techniques (i) to convert point-specific variable data into contiguous zonal map form, and (ii) to generate interpolated maps between the source and target maps that are maps at two spatial and/or temporal resolutions. The first part of the presentation will deal with Conversion of Point-Data into Polygonal Map via WSKIZ; and the second part will deal with Visualization of spatiotemporal behaviour of discrete maps via generation of recursive median elements.
4.00 – 4.15 Concluding Remarks
4.15 Tea
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Announcement: IEEE Geoscience and Remote Sensing Society (GRSS) Distinguished Lecture on “Current Scenario and Challenges in the Analysis of Multitemporal Remote Sensing Images” by Professor Lorenzo Bruzzone, Department of Information Engineering and Computer Science, University of Trento, Italy. Date/Time: 27 January 2014, 16:00 hrs. Venue: Platinum Jubilee Auditorium, Indian Statistical Institute-Bangalore Centre. A brief report on this event is available at: Lorenzo-Bruzzone-DL-Talk-Bangalore-2014-Report.
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This chapter has recently organized jointly with Amrita School of Engineering, Bangalore a Workshop on “Image Pattern Analysis and Applications” during 9-10 November 2013. During this workshop, Dr. B. S. Daya Sagar and Dr. Saroj Meher delivered series of lectures to the audience mostly consisted of IEEE Student members from Amrita School of Engineering, Bangalore. The details of this workshop can be seen at: http://www.isibang.ac.in/~bsdsagar/Amrita-ISI-Poster.pdf
A Three-Day workshop on “Mathematical Morphology and Pattern Recognition: Theory and Applications” held during 26-28 March 2013 at Indian Statistical Institute-Bangalore (http://www.isibang.ac.in/~mmprta)
IEEE Bangalore Section Chapter of the Geoscience and Remote Sensing Society (IEEE-BSC-GRSS) was formally inaugurated on 26th March 2013 at Indian Statistical Institute-Bangalore Centre, Bangalore, India. The Chair of this chapter, that got formal approval on 24th Dec 2012, is Prof. B. S. Daya Sagar, Senior Member of IEEE. Inaugural talk on “GIS and Automation” was delivered by Prof. N. Viswanadham, FIEEE. Followed by this inaugural talk, Dr. Raju Garudachar, Senior Member, has given a talk on ” Climate Change: Microwave Radiometers and Sounding Radars for Antarctic Research”. This formal inauguration was followed by a Three-Day workshop on “Mathematical Morphology and Pattern Recognition: Theory and Applications”, which was technically sponsored by the IEEE Bangalore Section. The two convenors of this workshop Prof. Daya Sagar and Prof. Saroj Meher have delivered a series of 14 lectures on the topics related to mathematical morphology and pattern recognition. The two tracks in this three-day workshop include “Mathematical Morphology: Theory and Applications” and “Pattern Recognition: Theory and Applications”. A host of algorithms developed based on the concepts of mathematical morphology were covered in a series of seven lectures by B. S. Daya Sagar. Applications of both classical and modern Pattern Recognition techniques were covered in a series of seven lectures by Saroj Meher. Conveners (Sagar and Saroj) have framed the sequence of lectures in such a way that there was an excellent coherence. These lectures were mainly intended for Postgraduate students, Ph.D. scholars, Post-Docs and young faculty members and scientists. This workshop has been attended by 60 participants drawn from academia, industry, and government organizations and labs. Both the conveners of this first technical event of IEEE-BSC-GRSS gratefully acknowledge the support and guidance provided by Prof. Wolfgang-Martin Boerner, Life Fellow IEEE. Further details about the inauguration of the IEEE-BSC-GRSS, and the three-day workshop are available at: http://www.isibang.ac.in/~mmprta.
A week-long Course on “Spatial Statistical Tools in Data Processing and Analysis” held during 26-30 November 2012 at Indian Statistical Institute-Bangalore (http://www.isibang.ac.in/~sstdpa/)
Enormous amount of spatial data—for various natural, anthropogenic, and socio-economic phenomena from a wide range of sources, available in continuous and discrete forms in spatial and/or temporal scales—invites a host of novel techniques to unravel meaningful spatial information. Such spatial information is useful to develop cogent spatiotemporal models. Spatial statistics offers numerous methodologies essentially drawn from the fields of mathematical morphology, geostatistics, neural networks, fuzzy set theory, rough set theory, fractal geometry and digital image processing. Of late, these spatial statistical methods received wide attention from researchers of various scientific and engineering disciplines. This course provided the targeted audience the experience of the potential applications of spatial statistical tools in various fields with special emphasis on spatial data processing and analysis. This course organized during 26-30 November 2012 has provided experiences of pioneering researchers who have been involved in designing, developing and demonstrating the elegant methods in spatial data processing and analysis. This course was attended by 60 participants from various parts of India. The invited speakers—delivered lectures are from USA, France, and India—include B. S. Daya Sagar (Course Convener), Saroj Meher (Course Co-Convener), John Schuenemeyer (IAMG Distinguished Lecturer 2012), and Wolfgang-Martin Boerner (USA). Further details about this course sponsored by the IEEE Bangalore Section are available at: http://www.isibang.ac.in/~sstdpa/