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

Type: Conference Paper

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

Publisher: IEEE

Year: 2014

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

Type: Journal Paper

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

Publisher: IEEE

Year: 2014

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

Type: Journal Paper

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

Publisher: IEEE

Year: 2014

Spectral-Spatial Classification of Hyperspectral Image Based on Discriminant Analysis

Type: Journal Paper

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

Publisher: IEEE

Year: 2014

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

Type: Journal Paper

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

Publisher: IEEE

Year: 2014

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

Type: Journal Paper

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

Publisher: IEEE

Year: 2014

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

Type: Journal Paper

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

Publisher: IEEE

Year: 2014

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

Type: Journal Paper

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

Publisher: IEEE

Year: 2014

Decentralized resource sharing platform exploiting in-network guidance information

Type: Conference Paper

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

Publisher: IEEE

Year: 2014

Author index

Type: Conference Paper

Publisher: IEEE

Year: 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