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Upcoming Events
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- IEEE GRSS One-Day Workshop on Remote Sensing in Earth Observations (RSEO-23)
Title: IEEE GRSS One-Day Workshop on Remote Sensing in Earth Observations (RSEO-23)
Speaker: Dr. Paul A. Rosen (JPL, NASA), Dr. Shiv Mohan (ISRO (retired), INDIA), Srikanth Chandrasekaran (Sr. DirectoR, IEEE SA Foundational Technologies Practice) and Senior Scientists from MPCST, IITs and IISERs
Date: Oct 09, 2023
Mode: Offline
Registration: Registration is FREE and mandatory for all. Link: https://forms.gle/RuQVPry36w3ux9fj8
Workshop Web Page: https://www.iiti.ac.in/people/~saurabh.das/IEEE_RRSEO.htm
Highlights:
Networking Opportunity
Limited Seats (max. 100)
Membership Drive
Best Flash Talk Awards
Limited Travel Support
Participation Certificates
- Online Webinar on Fuzzy Machine/Deep Learning Models
Scan QR to register for the event
Title: Fuzzy Machine/Deep Learning Models for Satellite Image Processing
Speaker: Dr. Anil Kumar, Scientist SG, Head of Photogrammetry and Remote Sensing at IIRS, ISRO
Date and Time: Apr 06, 2023 at 10:30 AM IST
Mode: Online
Abstract: We are living in a rapidly changing world. Buildings serve multiple purposes, agricultural parcels contain various crops, and forests are reduced in size and composition. Spatial information on land use and land cover is coming to us in various ways, and in particular remote sensing images are easily available for that purpose. Their large resources, being really big data in the form of multi-spectral, multi-temporal, multi-sensor, data can be freely assessed. But extracting the essential relevant information requires solid and well developed machine learning methods. In addition, we are aware that the world outside is often largely uncertain, or fuzzy. It requires fuzzy machine learning algorithms to respect this uncertainty after classification. So, this lecture will through light on comprehensive overview of the latest developments in fuzzy machine / deep learning models for classification, detection and image transformation. Concepts of fuzzy machine / deep learning models will be covered through self achieved research findings.
Speaker Bio: Anil Kumar is a scientist/engineer ‘SG’ and the head of the photogrammetry and remote sensing department of Indian Institute of Remote Sensing (IIRS), ISRO, Dehradun, India. He received his B.Tech. degree in civil engineering from IET, affiliated with the University of Lucknow, India, and his M.E. degree, as well as his Ph.D. in soft computing, from the Indian Institute of Technology, Roorkee, India. So far, he has guided eight Ph.D. thesis, and eight more are in prog¬ress. He has also guided several dissertations of M.Tech., M.Sc., B.Tech., and postgraduate diploma courses. He always loves to work with Ph.D. scholars and masters and graduate students for their research work, and to motivate them to adopt research-oriented professional careers. He received the Pisharoth Rama Pisharoty award for contributing state-of-the-art fuzzy-based algorithms for Earth-observation data. His current research interests are in the areas of soft-computing-based machine learning, deep learning for single-date and temporal, multi-sensor remote-sensing data for specific-class identification, and mapping through the in-house development of the SMIC tool. He also works in the area of digital photogrammetry, GPS/GNSS, and LiDAR. He is the author of the book Fuzzy Machine Learning Algorithms for Remote Sensing Image Classification with CRC Press.
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