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نمایش تعداد 1-6 از 6

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

نوع: Journal Paper

نویسنده : Anbing Zhang; Yichun Xie

ناشر: IEEE

سال: 2014

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

نوع: Journal Paper

نویسنده : Wei Li; Qian Du

ناشر: IEEE

سال: 2014

Sparse Non-negative Matrix Factorization on GPUs for Hyperspectral Unmixing

نوع: Journal Paper

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

ناشر: IEEE

سال: 2014

نوع: Conference Paper

ناشر: IEEE

سال: 2014

An algorithm for scalable clustering: Ensemble Rapid Centroid Estimation

نوع: Conference Paper

ناشر: IEEE

سال: 2014

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

نوع: Journal Paper

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

ناشر: IEEE

سال: 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

Table of contents

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