Hyperspectral Imaging Remote Sensing

This book, titled "Hyperspectral Imaging Remote Sensing: Physics, Sensors, and Algorithms," systematically covers the foundational physics that govern hyperspectral data acquisition, explores the various types of sensors employed in remote sensing, and delves into the complex algorithms essential for processing and interpreting hyperspectral imagery. This comprehensive approach ensures readers gain a thorough grasp of the entire hyperspectral workflow.

The publication is designed for researchers, students, and practitioners seeking to deepen their knowledge of hyperspectral imaging. It provides detailed insights into how spectral information is captured across hundreds of narrow bands, enabling the identification and characterization of materials with high precision. The content addresses both theoretical concepts and practical applications, making it valuable for those involved in diverse fields such as environmental monitoring, agriculture, geology, and defense.

Readers will find extensive coverage of topics crucial for effective hyperspectral data utilization, including atmospheric correction, spectral unmixing, and classification techniques. The book emphasizes the analytical power of hyperspectral data, demonstrating how it can be leveraged for detailed material identification and feature extraction. It is an essential reference for anyone working with or interested in the cutting-edge capabilities of spectral remote sensing.