Hyperspectral Remote Sensing in Urban Environments

Shailesh Shankar Deshpande, Arun B. Inamdar

• Publisher: CRC Press
• Year: 2023
• Print ISBN: 9781032359106
• eBook ISBN: 9781000955224
• Edition: 1
• Topic: Technology & Engineering
• Subtopic: Environmental Management
• Index: Technology & Engineering

This book is intended to provide a detailed perspective on techniques and challenges in detecting urban materials using hyperspectral data including a systematic perspective on the spectral properties of the materials and methods. It adopts a process chain approach in describing the topic and explains image processing steps from reflectance calibration to final insights. The objective of the book is to provide in-depth information on hyperspectral remote sensing of urban materials covering global case studies as applicable.

Features:

• Covers the complete processing chain of hyperspectral data specifically in urban environments;
• Gives more information about the mapping and classification of urban scenes;
• Includes information from basic imaging spectroscopy to advanced methods such as deep learning for imaging spectroscopy;
• Reviews detailed spectral characteristics of urban materials commonly found in world cities;
• Discusses advanced supervised methods such as deep learning with a due focus on hyperspectral data analysis.

This book is aimed at professionals and graduate students in Hyperspectral Imaging, Urban Remote Sensing, and Hyperspectral Image Processing.

Table of contents

• Cover
• Half-Title Page
• Title Page
• Copyright Page
• Dedication
• Table of Contents
• Preface
• Acknowledgements
• About the Authors
• 1 Cities Means to Menace?
• 2 Introduction to Hyperspectral Imaging
• 3 Reflectance Calibration
• 4 Spectral Resources
• 5 Classification of Urban Land Use and Land Cover
• 6 Appendix
• Index