This book explores the hyperspectral remote sensing from theoretical and operational perspectives, by bringing all the processing techniques and algorithms comprehensively onto a common platform. Featuring chapters from diverse areas of hyperspectral remote sensing, it addresses i) fundamentals of molecular absorption processes that leads to generation of spectral signatures ii) field data acquisition and necessary precaution ii) techniques of spectral absorption feature recovery and analysis iii) classification techniques iv) matching algorithms using reference library spectra and iv) spectral unmixing. The book also includes data acquisition platforms, dimensionality reduction techniques, various statistical approaches used in data analysis and also the available software & tools. Applications of hyperspectral remote sensing in crop and soil studies have been presented with sufficient details. At the end the book summarizes the evolution of hyperspectral remote sensing and future road map. This book will be of value to the scholars and professionals who are working in the field of application of hyperspectral remote sensing in soil and crop management.
Dr Dibyendu Dutta is the Group Director at National Remote Sensing Centre, Hyderabad, India. He has spent more than 25 years in the field of remote sensing of soils and crops. Main research areas include application of hyperspectral remote sensing in crop ans soil studies. He has published 97 research papers, has guided 5 Ph.D and 59 M.Sc students.
Number of Pages:
Hyperspectral remote sensing, absorption process, spectral signature, data acquisition platform, dimensionality reduction, feature recovery, feature characterization, library search, spectral matching algorithm, spectral mixture analysis, crop, soil
COMPUTERS / General