Hyperspectral Data Exploitation: Theory and Applications
暫譯: 高光譜數據開發：理論與應用

Chein-I Chang

Hyperspectral Data Exploitation: Theory and Applications
  • 出版商: Wiley
  • 出版日期: 2007-04-01
  • 售價: $6,950
  • 貴賓價: 9.5 折 $6,603
  • 語言: 英文
  • 頁數: 456
  • 裝訂: Hardcover
  • ISBN: 0471746975
  • ISBN-13: 9780471746973

    • 海外代購書籍(需單獨結帳)

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商品描述

Description

Authored by a panel of experts in the field, this book focuses on hyperspectral image analysis, systems, and applications. With discussion of application-based projects and case studies, this professional reference will bring you up-to-date on this pervasive technology, wether you are working in the military and defense fields, or in remote sensing technology, geoscience, or agriculture.

 

Table of Contents

1. Chapter 1: Overview (Chein-I Chang)

PART I: TUTORALS

2. Chapter 2. Hyperspectral Imaging Systems (John P. Kerekes and John R. Schott)

Chapter 3. Information-Processed Matched Filters for Hyperspectral Target Detection and Classification (Chein-I Chang)

PART II: THEORY

Chapter 4. An Optical Real-Time Adaptive Spectral Identification System (ORASIS) (Jeffery H. Bowles and David B. Gillis)

Chapter 5: Stochastic Mixture Modeling (Michael T. Eismann1 and David W. J. Stein)

Chapter 6. Unmixing Hyperspectral Data: Independent and Dependent Component Analysis (Jose M.P. Nascimento1 and Jose M.B. Dias)

Chapter 7. Maximum Volume Transform For Endmember Spectra Determination (Michael E. Winter)

Chapter 8. Hyperspectral Data Representation (X. Jia1 and John A. Richards)

Chapter 9. Optimal Band Selection and Utility Evaluation for Spectral Systems (Sylvia S. Shen)

Chapter 10. Feature Reduction for Classification Purpose (Sebastiano B. Serpico, Gabriele Moser and Andrea F. Cattoni)

Chapter 11. Semi-supervised Support Vector Machines for Classification of Hyperspectral Remote Sensing Images (Lorenzo Bruzzone, Mingmin Chi and Mattia Marconcini)

PART III: APPLICATIONS

Chapter 12. Decision Fusion for Hyperspectral Classification (Mathieu Fauvel, Jocelyn Chanussot and Jon Atli Benediktsson)

Chapter 13. Morphological Hyperspectral Image Classification: A Parallel Processing Perspective (Antonio J. Plaza)

Chapter 14. 3D Wavelet-Based Compression of Hyperspectral Imagery (James E. Fowler and Justin T. Rucker)

商品描述(中文翻譯)

描述
本書由該領域的專家小組撰寫，專注於高光譜影像分析、系統及應用。透過應用導向的專案和案例研究的討論，這本專業參考書將使您了解這項普遍存在的技術，無論您是在軍事和國防領域，還是在遙感技術、地球科學或農業方面工作。

目錄
1. 第一章：概述 (Chein-I Chang)
**第一部分：教程**
2. 第二章：高光譜成像系統 (John P. Kerekes 和 John R. Schott)
3. 第三章：用於高光譜目標檢測和分類的信息處理匹配濾波器 (Chein-I Chang)
**第二部分：理論**
4. 第四章：光學實時自適應光譜識別系統 (ORASIS) (Jeffery H. Bowles 和 David B. Gillis)
5. 第五章：隨機混合建模 (Michael T. Eismann 和 David W. J. Stein)
6. 第六章：高光譜數據的解混：獨立和依賴成分分析 (Jose M.P. Nascimento 和 Jose M.B. Dias)
7. 第七章：最大體積變換以確定端元光譜 (Michael E. Winter)
8. 第八章：高光譜數據表示 (X. Jia 和 John A. Richards)
9. 第九章：光譜系統的最佳波段選擇和效用評估 (Sylvia S. Shen)
10. 第十章：用於分類目的的特徵減少 (Sebastiano B. Serpico, Gabriele Moser 和 Andrea F. Cattoni)
11. 第十一章：用於高光譜遙感影像分類的半監督支持向量機 (Lorenzo Bruzzone, Mingmin Chi 和 Mattia Marconcini)
**第三部分：應用**
12. 第十二章：高光譜分類的決策融合 (Mathieu Fauvel, Jocelyn Chanussot 和 Jon Atli Benediktsson)
13. 第十三章：形態學高光譜影像分類：平行處理的視角 (Antonio J. Plaza)
14. 第十四章：基於3D小波的高光譜影像壓縮 (James E. Fowler 和 Justin T. Rucker)

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