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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Deep Learning for Hyperspectral Image Analysis, Part II: Applications to Remote and Biomedicine

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

10.1007/978-3-030-38617-7_4 ◽

2020 ◽

pp. 69-115

Author(s):

Farideh Foroozandeh Shahraki ◽

Leila Saadatifard ◽

Sebastian Berisha ◽

Mahsa Lotfollahi ◽

David Mayerich ◽

...

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

Deep Learning for Hyperspectral Image Analysis, Part II: Applications to Remote and Biomedicine

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