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Chaos Theory-Based Data-Mining Technique for Image Endmember Extraction: Laypunov Index and Correlation Dimension (L and D)

Type: Journal Paper

Author : Anbing Zhang; Yichun Xie

Publisher: IEEE

Year: 2014

Gabor-Filtering-Based Nearest Regularized Subspace for Hyperspectral Image Classification

Type: Journal Paper

Author : Wei Li; Qian Du

Publisher: IEEE

Year: 2014

Sparse Non-negative Matrix Factorization on GPUs for Hyperspectral Unmixing

Type: Journal Paper

Author : Zebin Wu; Shun Ye; Jianjun Liu; Le Sun; Zhihui Wei

Publisher: IEEE

Year: 2014

Type: Conference Paper

Publisher: IEEE

Year: 2014

An algorithm for scalable clustering: Ensemble Rapid Centroid Estimation

Type: Conference Paper

Publisher: IEEE

Year: 2014

Spatial–Spectral Information-Based Semisupervised Classification Algorithm for Hyperspectral Imagery

Type: Journal Paper

Author : Liguo Wang; Siyuan Hao; Ying Wang; Yun Lin; Qunming Wang

Publisher: IEEE

Year: 2014

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Chaos Theory-Based Data-Mining Technique for Image Endmember Extraction: Laypunov Index and Correlation Dimension (L and D)

Gabor-Filtering-Based Nearest Regularized Subspace for Hyperspectral Image Classification

Sparse Non-negative Matrix Factorization on GPUs for Hyperspectral Unmixing

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An algorithm for scalable clustering: Ensemble Rapid Centroid Estimation

Spatial–Spectral Information-Based Semisupervised Classification Algorithm for Hyperspectral Imagery

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Chaos Theory-Based Data-Mining Technique for Image Endmember Extraction: Laypunov Index and Correlation Dimension (L and D)

Gabor-Filtering-Based Nearest Regularized Subspace for Hyperspectral Image Classification

Sparse Non-negative Matrix Factorization on GPUs for Hyperspectral Unmixing

Table of contents

An algorithm for scalable clustering: Ensemble Rapid Centroid Estimation

Spatial&#x2013;Spectral Information-Based Semisupervised Classification Algorithm for Hyperspectral Imagery

Spatial–Spectral Information-Based Semisupervised Classification Algorithm for Hyperspectral Imagery