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Advances in hyperspectral image processing techniques için kapak resmi
Başlık:
Advances in hyperspectral image processing techniques
Yazar:
Chang, Chein-I, editor.
ISBN:
9781119687771

9781119687757

9781119687788
Fiziksel Tanımlama:
1 online resource (xiv, 594 pages) : illustrations (chiefly color), color maps
İçerik:
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.
Özet:
"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.
Notlar:
John Wiley and Sons
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E-Kitap 597812-1001 TR267.73 .A38 2023
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