Special Session on “Computational Intelligence in Remote Sensing Data Analysis” ICETCI 2021
Scope
The recent time has witnessed an enormous volume of remote sensing data using airborne and space-borne sensors. The general objective is to provide large-scale, homogeneous information processing from these data. The sheer volume of these multi-modal data sources needs highly- automated and intelligent frameworks. The resurgence of deep neural networks has popularized Computational Intelligence (CI) techniques. They have found wide applications in the land- cover/land-use classification, content-based data retrieval, region-detection, and temporal analysis of remote sensing data. Due to the availability of many satellite missions, certain multi- modal approaches like data fusion for pan-sharpening and colorization problems, and cross- modal data retrieval be of extreme importance. Earth observation tasks also imply the need for various location-based services, online mapping services, surveillance, crop-monitoring, soil- moisture tracking, various forms of change detection applications, to name a few. This special session aims to bring together researchers working in developing CI techniques for remote sensing data analysis and providing a forum for discussion on the above topics.
Topics
We invite submission in the following remote sensing data analysis areas but not limited to the following topics:
- Image classification, segmentation and clustering
- UAV data analysis
- Multi-modal data fusion and classification
- Supervised and unsupervised learning
- Spectral and spatial methods
- Spectral unmixing
- Image understanding and synthesis
- Noise filtering
- Change detection
- Time series analysis
- Geo-intelligence
- Target detection
Paper Submission:
Potential authors may submit their manuscripts for presentation consideration through ICETCI 2021 submission system electronically at https://cmswebonline.com/icetci2021, following the conference guidelines. All submissions will go through peer review process. To submit your paper to this special session, you have to choose our special session title on the submission page.
Important Dates
| Last Date for Paper Submission: | 28 February 2021 |
| Final Notification of Review Outcomes: | 15 May 2021 |
| Submission of Camera-Ready Paper and Early-Bird Registration Deadline: | 31 May 2021 |
Organizers
Dr. Avik Bhattacharya, Associate Professor, Centre of Studies in Resources Engineering,
Indian Institute of Technology Bombay
Dr. Avik Bhattacharya is an associate professor at the Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay, where he is also leading the Microwave Remote Sensing Laboratory. Dr. Avik Bhattacharya (Senior Member, IEEE) received the integrated M.Sc. degree in mathematics from IIT Kharagpur, Kharagpur, India, in 2000, and the Ph.D. degree in remote sensing image processing and analysis from Télécom ParisTech, Paris, France, and the Ariana Research Group, Institut National de Recherche en Informatique et en Automatique (INRIA), Nice, France, in 2007., He was a Canadian Government Research Fellow with the Canadian Centre for Remote Sensing (CCRS), Ottawa, ON, Canada. His research interests include synthetic aperture radar (SAR) polarimetry, statistical analysis of polarimetric SAR images, and applications of radar remote sensing in agriculture, cryosphere, urban, and planetary studies. Dr. Bhattacharya received the Natural Sciences and Engineering Research Council of Canada Visiting Scientist Fellowship at the Canadian national laboratories, from 2008 to 2011. He is the Founding Chairperson of the IEEE Geoscience and Remote Sensing Society (GRSS) Chapter of the Bombay Section. He was an Associate Editor of the IEEE Geoscience and Remote Sensing Letters (GRSL). He has been a Guest Editor of the Special Issue on Applied Earth Observations and Remote Sensing in India in the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS) in 2017. He was one of the guest editors of the special stream on Advanced Statistical Techniques in SAR Image Processing and Analysis in the IEEE Geoscience and Remote Sensing Letters in 2018. He is also the Editor-in-Chief of the IEEE GRSL.
Dr. Mihai Datcu, Professor with the Department of Applied Electronics and Information Engineering,
Telecommunications and Information Technology, UPB
Dr. Mihai Datcu (Fellow, IEEE) received the M.S. and Ph.D. degrees in electronics and telecommunications from the University Politehnica Bucharest (UPB), Bucharest, Romania, in 1978 and 1986, respectively, and the habilitation a Diriger Des Recherches degree in computer science from the University Louis Pasteur, Strasbourg, France, in 1999.,From 1992 to 2002, he had a longer Invited Professor Assignment with the Swiss Federal Institute of Technology (ETH Zurich), Zurich, Switzerland. He was a Visiting Professor with the University of Oviedo, Oviedo, Spain; University Louis Pasteur; International Space University, Strasbourg, France; the University of Siegen, Siegen, Germany; University of Innsbruck, Innsbruck, Austria; University of Alcala, Alcala de Henares, Spain; University Tor Vergata, Rome, Italy; the Universidad Pontificia de Salamanca, Madrid, Spain; University of Camerino, Camerino, Italy; and the Swiss Center for Scientific Computing, Manno, Switzerland. Since 1981, he has been a Professor with the Department of Applied Electronics and Information Engineering, Faculty of Electronics, Telecommunications and Information Technology, UPB. Since 1993, he has been a Scientist with the German Aerospace Center (DLR), Wessling, Germany. He is developing algorithms for model-based information retrieval from high-complexity signals and methods for scene understanding from very-high-resolution synthetic aperture radar (SAR) and interferometric SAR data. Since 2011, he has been leading the Immersive Visual Information Mining Research Laboratory, Munich Aerospace Faculty, and he is the Director of the Research Center for Spatial Information, UPB. Since 2001, he had been initiating and leading the Competence Center on Information Extraction and Image Understanding for Earth Observation, ParisTech, Paris Institute of Technology, Telecom Paris, Paris, France, a collaboration of DLR with the French Space Agency (CNES). He has been a Professor with the DLR-CNES Chair, ParisTech, Paris Institute of Technology, Telecom Paris. He has initiated the European frame of projects for image information mining (IIM) and is involved in research programs for information extraction, data mining and knowledge discovery, and data understanding with the European Space Agency (ESA), NASA, and in a variety of national and European projects. He and his team have developed and are developing the operational IIM processor in the Payload Ground Segment systems for the German missions, TerraSAR-X, TanDEM-X, and the ESA Sentinel-1 and Sentinel-2. He is a Senior Scientist and the Data Intelligence and Knowledge Discovery Research Group Leader with the Remote Sensing Technology Institute, DLR. His research interests include explainable and physics aware Artificial Intelligence, smart sensors design, and qauntum machine learning with applications in Earth Observation.,Dr. Datcu is a member of the ESA Working Group Big Data from Space. He was the recipient of the Best Paper Award and the IEEE Geoscience and Remote Sensing Society Prize, in 2006, the National Order of Merit with the rank of Knight, for outstanding international research results, awarded by the President of Romania, in 2008, and the Romanian Academy Prize Traian Vuia for the development of the SAADI image analysis system and his activity in image processing, in 1987. He was also the recipient of the Chaire d'excellence internationale Blaise Pascal 2017 for international recognition in the field of data science in earth observation. He has served as a Co-organizer for international conferences and workshops and as Guest Editor for a special issue on AI and Big Data of the IEEE and other journals.