Multi-Sensor and Multi-Temporal Remote Sensing (ePub)

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 progress. 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.

Priyadarshi Upadhyay is working as a scientist/engineer in Uttarakhand Space Application Centre (USAC), Department of Information & Science Technology, Government of Uttarakhand, Dehradun, India. He received his B.Sc. and M.Sc. degrees in physics from Kumaun University, Nainital, India. He completed his M.Tech. degree in remote sensing from Birla Institute of Technology Mesra, Ranchi, India. He completed his Ph.D. in geomatics engineering under civil engineering from IIT Roorkee, India. He has guided several graduate and post-graduate dissertations in the application area of image processing. He has