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Image of - Hyperspectral Remote Sensing In Urban Environments | Hardcover
Hyperspectral Remote Sensing In Urban Environments | Hardcover

Hyperspectral Remote Sensing In Urban Environments | Hardcover

by Deshpande S.S.

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.

Highlights

  • binding-icon

    9781032359106

    ISBN

  • binding-icon

    Deshpande S.S.

    Author

  • binding-icon

    282

    Pages

  • binding-icon

    5000 gm

    Weight

  • langauage-icon

    English

    Language

  • date-icon

    2024

    Year

  • edition-icon

    1st Edition

    Edition

  • binding-icon

    Hardcover

    Binding

₹13230

₹14701

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.

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