Non-Linear Spectral Unmixing of Hyperspectral Data
by Somdatta Chakravortty
English | 2024 | ISBN: 1032450495 | 167 pages | True PDF | 27.88 MB
This book is based on satellite image processing focussing on the potential of hyperspectral image processing (HIP) research taking a case study-based approach. It covers the background, objectives, and practical issues related to HIP and substantiates the needs/potentials of said technology for discrimination of pure and mixed endmembers in pixels including unsupervised target detection algorithms for extraction of unknown spectra of pure pixels. It includes application of machine and deep learning models on hyperspectral data and its role in Spatial Big Data Analytics.
Features:
This book is aimed at researchers and graduate students in digital image processing, big data, and spatial informatics.
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