Hyperspectral Image Analysis - Advances in Computer Vision and Pattern Recognition
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 15)

H-INDEX

(FIVE YEARS 1)

Published By Springer International Publishing

9783030386160, 9783030386177

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Supervised, Semi-supervised, and Unsupervised Learning for Hyperspectral Regression

Hyperspectral Image Analysis - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-030-38617-7_7 ◽

2020 ◽

pp. 187-232 ◽

Cited By ~ 2

Author(s):

Felix M. Riese ◽

Sina Keller

Keyword(s):

Unsupervised Learning ◽

Supervised And Unsupervised Learning

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Low Dimensional Manifold Model in Hyperspectral Image Reconstruction

Hyperspectral Image Analysis - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-030-38617-7_10 ◽

2020 ◽

pp. 295-317 ◽

Cited By ~ 1

Author(s):

Wei Zhu ◽

Zuoqiang Shi ◽

Stanley Osher

Keyword(s):

Image Reconstruction ◽

Hyperspectral Image ◽

Dimensional Manifold ◽

Low Dimensional ◽

Low Dimensional Manifold

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Multiple Kernel Learning for Hyperspectral Image Classification

Hyperspectral Image Analysis - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-030-38617-7_9 ◽

2020 ◽

pp. 259-293

Author(s):

Tianzhu Liu ◽

Yanfeng Gu

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Multiple Kernel Learning ◽

Kernel Learning ◽

Hyperspectral Image Classification ◽

Multiple Kernel

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Deep Learning for Hyperspectral Image Analysis, Part I: Theory and Algorithms

Hyperspectral Image Analysis - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-030-38617-7_3 ◽

2020 ◽

pp. 37-68

Author(s):

Sebastian Berisha ◽

Farideh Foroozandeh Shahraki ◽

David Mayerich ◽

Saurabh Prasad

Keyword(s):

Image Analysis ◽

Deep Learning ◽

Hyperspectral Image ◽

Hyperspectral Image Analysis

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Detection of Large-Scale and Anomalous Changes

Hyperspectral Image Analysis - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-030-38617-7_12 ◽

2020 ◽

pp. 351-375

Author(s):

Amanda Ziemann ◽

Stefania Matteoli

Keyword(s):

Large Scale

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Sparsity-Based Methods for Classification

Hyperspectral Image Analysis - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-030-38617-7_8 ◽

2020 ◽

pp. 233-257 ◽

Cited By ~ 1

Author(s):

Zebin Wu ◽

Yang Xu ◽

Jianjun Liu

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Addressing the Inevitable Imprecision: Multiple Instance Learning for Hyperspectral Image Analysis

Hyperspectral Image Analysis - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-030-38617-7_6 ◽

2020 ◽

pp. 141-185

Author(s):

Changzhe Jiao ◽

Xiaoxiao Du ◽

Alina Zare

Keyword(s):

Image Analysis ◽

Hyperspectral Image ◽

Multiple Instance Learning ◽

Hyperspectral Image Analysis

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Recent Advances in Hyperspectral Unmixing Using Sparse Techniques and Deep Learning

Hyperspectral Image Analysis - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-030-38617-7_13 ◽

2020 ◽

pp. 377-405

Author(s):

Shaoquan Zhang ◽

Yuanchao Su ◽

Xiang Xu ◽

Jun Li ◽

Chengzhi Deng ◽

...

Keyword(s):

Deep Learning ◽

Hyperspectral Unmixing ◽

Recent Advances

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Introduction

Hyperspectral Image Analysis - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-030-38617-7_1 ◽

2020 ◽

pp. 1-4

Author(s):

Saurabh Prasad ◽

Jocelyn Chanussot

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Advances in Deep Learning for Hyperspectral Image Analysis—Addressing Challenges Arising in Practical Imaging Scenarios

Hyperspectral Image Analysis - Advances in Computer Vision and Pattern Recognition ◽

10.1007/978-3-030-38617-7_5 ◽

2020 ◽

pp. 117-140

Author(s):

Xiong Zhou ◽

Saurabh Prasad

Keyword(s):

Image Analysis ◽

Deep Learning ◽

Hyperspectral Image ◽

Hyperspectral Image Analysis

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Hyperspectral Image Analysis - Advances in Computer Vision and Pattern RecognitionLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Supervised, Semi-supervised, and Unsupervised Learning for Hyperspectral Regression

Low Dimensional Manifold Model in Hyperspectral Image Reconstruction

Multiple Kernel Learning for Hyperspectral Image Classification

Deep Learning for Hyperspectral Image Analysis, Part I: Theory and Algorithms

Detection of Large-Scale and Anomalous Changes

Sparsity-Based Methods for Classification

Addressing the Inevitable Imprecision: Multiple Instance Learning for Hyperspectral Image Analysis

Recent Advances in Hyperspectral Unmixing Using Sparse Techniques and Deep Learning

Introduction

Advances in Deep Learning for Hyperspectral Image Analysis—Addressing Challenges Arising in Practical Imaging Scenarios

Hyperspectral Image Analysis - Advances in Computer Vision and Pattern Recognition
Latest Publications