Advances in hyperspectral image processing techniques / edited by Chein-I Chang.
Contributor(s): Chang, Chein-I [editor.]
Language: English Publisher: Hoboken, NJ : John Wiley & Sons, Inc., 2023Copyright date: 2023Description: 1 online resource (xiv, 594 pages) : illustrations (chiefly color), color mapsContent type: text Media type: computer Carrier type: online resourceISBN: 9781119687764; 9781119687771; 1119687772; 9781119687757; 1119687756; 9781119687788; 1119687780Subject(s): Hyperspectral imagingGenre/Form: Electronic books.DDC classification: 771 LOC classification: TR267.73 | .A38 2023Online resources: Full text is available at Wiley Online Library Click here to viewItem type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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EBOOK | COLLEGE LIBRARY | COLLEGE LIBRARY | 771 Ad955 2023 (Browse shelf) | Available |
Includes bibliographical references and index.
Table of Contents
EDITOR BIOGRAPHY vii
LIST OF CONTRIBUTORS viii
PREFACE x
PART I GENERAL THEORY 1
1 Introduction: Two Fundamental Principles Behind Hyperspectral Imaging 3
Chein-I Chang
2 Overview of Hyperspectral Imaging Remote Sensing from Satellites 41
Shen-En Qian
3 Efficient Hardware Implementation for Hyperspectral Anomaly and Target Detection 67
Jie Lei, Weiying Xie, Jiaojiao Li, Keyan Wang, Kai Liu, and Yunsong Li
PART II BAND SELECTION FOR HYPERSPECTRAL IMAGING 107
4 Constrained Band Selection for Hyperspectral Imaging 109
Chein-I Chang
5 Band Subset Selection for Hyperspectral Imaging 147
Chein-I Chang
6 Progressive Band Selection Processing for Hyperspectral Image Classification 179
Chunyan Yu, Meiping Song, and Chein-I Chang
PART III COMPRESSIVE SENSING FOR HYPERSPECTRAL IMAGING 205
7 Restricted Entropy and Spectrum Properties for Hyperspectral Imaging 207
Chein-I Chang and Bernard Lampe
8 Endmember Finding in Compressively Sensed Band Domain 228
Chein-I Chang and Adam Bekit
9 Hyperspectral Image Classification in Compressively Sensed Band Domain 252
Charles J. Della-Porta and Chein-I Chang
PART IV FUSION FOR HYPERSPECTRAL IMAGING 279
10 Hyperspectral and LiDAR Data Fusion 281
Qian Du, Wei Li, and Chiru Ge
11 Hyperspectral Data Fusion Using Multidimensional Information 293
Lifu Zhang, Xia Zhang, Mingyuan Peng, Xuejian Sun, and Xiaoyang Zhao
12 Fusion of Band Selection Methods for Hyperspectral Imaging 341
Yulei Wang, Lin Wang, and Chein-I Chang
PART V HYPERSPECTRAL DATA UNMIXING 363
13 Model-Inspired Deep Neural Networks for Hyperspectral Unmixing 365
Yuntao Qian, Fengchao Xiong, Minchao Ye, and Jun Zhou
14 Analytical Fully Constrained Least Squares Linear Spectral Mixture Analysis 404
Chein-I Chang and Hsiao-Chi Li
15 Swarm Intelligence Optimization-Based Spectral Unmixing 422
Lianru Gao, Xu Sun, Zhu Han, Lina Zhuang, Wenfei Luo, and Bing Zhang
16 Spectral-Spatial Robust Nonnegative Matrix Factorization for Hyperspectral Unmixing 453
Risheng Huang, Xiaorun Li, and Liaoying Zhao
PART VI HYPERSPECTRAL IMAGE CLASSIFICATION 483
17 Sparse Representation-Based Hyperspectral Image Classification 485
Haoyang Yu, Jun Li, Wei Li, and Bing Zhang
18 Collaborative Classification Based on Hyperspectral Images 506
Junping Zhang, Xiaochen Lu, and Tong Li
19 Class Feature-Weighted Hyperspectral Image Classification 543
Shengwei Zhong, Jiaojiao Li, Xiaodi Shang, Shuhan Chen, and Chein-I Chang
20 Target Detection Approaches to Hyperspectral Image Classification 565
Chein-I Chang, Bai Xue, and Chunyan Yu
INDEX 586
"This book is derived from recent development of hyperspectral imaging (HSI) techniques in the field. Many new ideas have been explored and have led in various new directions in the past a few years. The book's content is based on the expertise of invited scholars and is categorized into six parts. Part I describes hyperspectral data unmixing (4 chapters). Part II spans topics from hyperspectral target detection to hyperspectral image classification (8 chapters). Part III explains band selection for HSI (4 chapters). Part IV covers compressive sensing for HSI (2 chapters). Part V pertains to fusion for HSI (5 chapters)."-- Provided by publisher.
Table of Contents
EDITOR BIOGRAPHY vii
LIST OF CONTRIBUTORS viii
PREFACE x
PART I GENERAL THEORY 1
1 Introduction: Two Fundamental Principles Behind Hyperspectral Imaging 3
Chein-I Chang
2 Overview of Hyperspectral Imaging Remote Sensing from Satellites 41
Shen-En Qian
3 Efficient Hardware Implementation for Hyperspectral Anomaly and Target Detection 67
Jie Lei, Weiying Xie, Jiaojiao Li, Keyan Wang, Kai Liu, and Yunsong Li
PART II BAND SELECTION FOR HYPERSPECTRAL IMAGING 107
4 Constrained Band Selection for Hyperspectral Imaging 109
Chein-I Chang
5 Band Subset Selection for Hyperspectral Imaging 147
Chein-I Chang
6 Progressive Band Selection Processing for Hyperspectral Image Classification 179
Chunyan Yu, Meiping Song, and Chein-I Chang
PART III COMPRESSIVE SENSING FOR HYPERSPECTRAL IMAGING 205
7 Restricted Entropy and Spectrum Properties for Hyperspectral Imaging 207
Chein-I Chang and Bernard Lampe
8 Endmember Finding in Compressively Sensed Band Domain 228
Chein-I Chang and Adam Bekit
9 Hyperspectral Image Classification in Compressively Sensed Band Domain 252
Charles J. Della-Porta and Chein-I Chang
PART IV FUSION FOR HYPERSPECTRAL IMAGING 279
10 Hyperspectral and LiDAR Data Fusion 281
Qian Du, Wei Li, and Chiru Ge
11 Hyperspectral Data Fusion Using Multidimensional Information 293
Lifu Zhang, Xia Zhang, Mingyuan Peng, Xuejian Sun, and Xiaoyang Zhao
12 Fusion of Band Selection Methods for Hyperspectral Imaging 341
Yulei Wang, Lin Wang, and Chein-I Chang
PART V HYPERSPECTRAL DATA UNMIXING 363
13 Model-Inspired Deep Neural Networks for Hyperspectral Unmixing 365
Yuntao Qian, Fengchao Xiong, Minchao Ye, and Jun Zhou
14 Analytical Fully Constrained Least Squares Linear Spectral Mixture Analysis 404
Chein-I Chang and Hsiao-Chi Li
15 Swarm Intelligence Optimization-Based Spectral Unmixing 422
Lianru Gao, Xu Sun, Zhu Han, Lina Zhuang, Wenfei Luo, and Bing Zhang
16 Spectral-Spatial Robust Nonnegative Matrix Factorization for Hyperspectral Unmixing 453
Risheng Huang, Xiaorun Li, and Liaoying Zhao
PART VI HYPERSPECTRAL IMAGE CLASSIFICATION 483
17 Sparse Representation-Based Hyperspectral Image Classification 485
Haoyang Yu, Jun Li, Wei Li, and Bing Zhang
18 Collaborative Classification Based on Hyperspectral Images 506
Junping Zhang, Xiaochen Lu, and Tong Li
19 Class Feature-Weighted Hyperspectral Image Classification 543
Shengwei Zhong, Jiaojiao Li, Xiaodi Shang, Shuhan Chen, and Chein-I Chang
20 Target Detection Approaches to Hyperspectral Image Classification 565
Chein-I Chang, Bai Xue, and Chunyan Yu
INDEX 586
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