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Talk: Computational Intelligence for Remotely Sensed Data
January 25, 20210 Views
Title: Computational Intelligence for Remotely Sensed Data
Time: 11.00 am to 12.00 pm (45 Mins. talk + 15 Mins. of Q&A.)
Abstract: The talk will cover the use of computational intelligence in solving remote sensing problems. The talk will cover classification, related data processing and global optimisation techniques commonly core to computational intelligence. It will discuss the use of Neural Networks to solve various challenges in remote sensing.
Speaker: Dr Deb Jyoti Dhar, Outstanding Scientist and Group Director of Signal & Image Processing Group in Space Applications Centre, SAC/ISRO Ahmedabad,
Debajyoti Dhar, Outstanding Scientist and Group Director of Signal & Image Processing Group in Space Applications Centre, SAC/ISRO Ahmedabad, obtained BE in Computer Science & Technology from Indian Institute of Engineering Science & Technology, (formally Bengal Engineering College , Calcutta University) in 1987 and thereafter got Master Of Science in Computer Science from BITS, Pilani during service in ISRO. During the span of over 30 years with ISRO, he worked in system programming, device driver, Unix Kernel programming. He was a pioneer in development of Image Processing, Image Analysis and Satellite Data Processing applications using C in Unix platform in ISRO in early 90s. Although his forte was system programming, parallel and distributed processing, and Process Scheduling in Unix Kernel programming, he took special interest in Applied Mathematics and Computer Vision to become Core Designer for Geometric Correction techniques for Optical Remote Sensing Missions. He has also contributed significantly in meteorological data processing systems development for INSAT-3D and 3DR. He has been supervising the algorithms and techniques development for ISRO’s Earth Observations and Planetary Missions. His research interests are geometric correction of airborne and space borne sensors, System Software, Computer Vision, Machine and Deep Learning, Artificial Intelligence and Software Engineering.