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نمایش تعداد 1-10 از 14

A simple semantic kernel approach for SVM using higher-order paths

نوع: Conference Paper

نویسنده : Altinel, B. , Ganiz, M.C. , Diri, B.

ناشر: IEEE

سال: 2014

Spatial-Attraction-Based Markov Random Field Approach for Classification of High Spatial Resolution Multispectral Imagery

نوع: Journal Paper

نویسنده : Hua Zhang; Wenzhong Shi; Yunjia Wang; Ming Hao; Zelang Miao

ناشر: IEEE

سال: 2014

Spectral–Spatial Classification of Multispectral Images Using Kernel Feature Space Representation

نوع: Journal Paper

نویسنده : Bernabe, S.; Reddy Marpu, Prashanth; Plaza, Antonio; Dalla Mura, Mauro; Atli Benediktsson, Jon

ناشر: IEEE

سال: 2014

Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis

نوع: Journal Paper

نویسنده : Haoliang Yuan; Yuan Yan Tang; Yang Lu; Lina Yang; Huiwu Luo

ناشر: IEEE

سال: 2014

Automatic Spectral–Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction

نوع: Journal Paper

نویسنده : Ghamisi, Pedram; Benediktsson, Jon Atli; Sveinsson, Johannes R.

ناشر: IEEE

سال: 2014

Automatic Framework for Spectral–Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles

نوع: Journal Paper

نویسنده : Ghamisi, Pedram; Benediktsson, Jon Atli; Cavallaro, Gabriele; Plaza, Antonio

ناشر: IEEE

سال: 2014

Spectral–Spatial Classification of Hyperspectral Images Based on Hidden Markov Random Fields

نوع: Journal Paper

نویسنده : Ghamisi, Pedram; Benediktsson, Jon Atli; Ulfarsson, Magnus Orn

ناشر: IEEE

سال: 2014

Hyperspectral Imagery Classification Based on Rotation-Invariant Spectral–Spatial Feature

نوع: Journal Paper

نویسنده : Chao Tao; Yuqi Tang; Chong Fan; Zhengron Zou

ناشر: IEEE

سال: 2014

Decentralized resource sharing platform exploiting in-network guidance information

نوع: Conference Paper

نویسنده : Nishii, K. , Tanigawa, Y. , Tode, H.

ناشر: IEEE

سال: 2014

Author index

نوع: Conference Paper

ناشر: IEEE

سال: 2014

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A simple semantic kernel approach for SVM using higher-order paths

Spatial-Attraction-Based Markov Random Field Approach for Classification of High Spatial Resolution Multispectral Imagery

Spectral–Spatial Classification of Multispectral Images Using Kernel Feature Space Representation

Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis

Automatic Spectral–Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction

Automatic Framework for Spectral–Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles

Spectral–Spatial Classification of Hyperspectral Images Based on Hidden Markov Random Fields

Hyperspectral Imagery Classification Based on Rotation-Invariant Spectral–Spatial Feature

Decentralized resource sharing platform exploiting in-network guidance information

Author index

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A simple semantic kernel approach for SVM using higher-order paths

Spatial-Attraction-Based Markov Random Field Approach for Classification of High Spatial Resolution Multispectral Imagery

Spectral&#x2013;Spatial Classification of Multispectral Images Using Kernel Feature Space Representation

Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis

Automatic Spectral&#x2013;Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction

Automatic Framework for Spectral&#x2013;Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles

Spectral&#x2013;Spatial Classification of Hyperspectral Images Based on Hidden Markov Random Fields

Hyperspectral Imagery Classification Based on Rotation-Invariant Spectral&#x2013;Spatial Feature

Decentralized resource sharing platform exploiting in-network guidance information

Author index

Spectral–Spatial Classification of Multispectral Images Using Kernel Feature Space Representation

Automatic Spectral–Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction

Automatic Framework for Spectral–Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles

Spectral–Spatial Classification of Hyperspectral Images Based on Hidden Markov Random Fields

Hyperspectral Imagery Classification Based on Rotation-Invariant Spectral–Spatial Feature