Description
Book SynopsisAdvances in Hyperspectral Image Processing Techniques Authoritative and comprehensive resource covering recent hyperspectral imaging techniques from theory to applications Advances in Hyperspectral Image Processing Techniques is derived from recent developments of hyperspectral imaging (HSI) techniques along with new applications in the field, covering many new ideas that have been explored and have led to various new directions in the past few years. The work gathers an array of disparate research into one resource and explores its numerous applications across a wide variety of disciplinary areas. In particular, it includes an introductory chapter on fundamentals of HSI and a chapter on extensive use of HSI techniques in satellite on-orbit and on-board processing to aid readers involved in these specific fields. The book's content is based on the expertise of invited scholars and is categorized into six parts. Part I provides general theory. Part II presents various Band Selection tec
Table of ContentsEDITOR 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
