Non-Linear Spectral Unmixing of Hyperspectral Data [Hardcover]

This book is based on satellite image processing focussing on the potential of hyperspectral image processing research taking a case study-based approach. It covers the background, objectives, and practical issues related to HIP and discusses the needs/potentials of said technology for discrimination of pure and mixed endmembers in pixels.

Somdatta Chakravortty is an accomplished academician and researcher, currently serving as an Associate Professor and Head of the Department of Information Technology at Maulana Abul Kalam Azad University of Technology in West Bengal, India. With a diverse educational background, she holds a B. Tech. degree from HBTI, Kanpur University, India an M. Tech. degree from Bengal Engineering and Science University, Sibpur, India and a Ph.D. degree from Calcutta University, Kolkata, India.

Her professional journey encompasses a range of teaching and industry experiences. She has worked as in Consulting Engineering Services (India) Limited, Kolkata, and later served at various institutes, including Dr. B.C. Roy Engineering College, Durgapur, MCKV Institute of Engineering,Howrah and Heritage Institute of Technology, Kolkata. From 2008 to 2018, she held the position of Assistant Professor in Information Technology at Govt. College of Engineering & Ceramic Technology, Kolkata.

Her research interests have been instrumental in securing major and minor research projects funded by esteemed central government organizations such as the Department of Science and Technology, University Grants Commission, and All India Council of Technical Education. She has made significant contributions to the field, with publications in renowned national and international journals and conferences and actively contributes as a reviewer for esteemed journals. She also has copyright on her work on spectral indices and has applied for patent on her work on hyperspectral spectra generation.