Non-Linear Spectral Unmixing of Hyperspectral Data

Discover the cutting-edge techniques in satellite image processing with Non-Linear Spectral Unmixing of Hyperspectral Data by Somdatta Chakravortty. Published by Taylor & Francis Ltd in 2024, this insightful hardback spans 154 pages and delves into the transformative potential of hyperspectral image processing.

This book takes a case study-based approach to explore the background, objectives, and practical challenges associated with hyperspectral imaging technology. It provides a comprehensive discussion on the critical needs and potentials of this technology for effectively discriminating between pure and mixed endmembers within pixels, making it an essential read for researchers and professionals in the field of geography and remote sensing.

Enhance your understanding of advanced imaging techniques and their applications in real-world scenarios with this invaluable resource.