Hyperspectral Remote Sensing in Urban Environments

ebook

By Shailesh Shankar Deshpande

cover image of Hyperspectral Remote Sensing in Urban Environments

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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.

    Hyperspectral Remote Sensing in Urban Environments