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نمایش تعداد 1-9 از 9

A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain

نوع: Journal Paper

نویسنده : Bovolo, F.; Bruzzone, L.

ناشر: IEEE

سال: 2007

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A novel circular approach to change detection in pair of images extracted from image time series

نوع: Conference Paper

نویسنده : Bruzzone, L.; Bovolo, F.

ناشر: IEEE

سال: 2014

A Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure

نوع: Journal Paper

نویسنده : Bovolo, F.; Bruzzone, L.; Marconcini, M.

ناشر: IEEE

سال: 2008

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Detection of specific changes in image time series by an adaptive change vector analysis

نوع: Conference Paper

نویسنده : Zanotta, D.C.; Bruzzone, L.; Bovolo, F.

ناشر: IEEE

سال: 2014

Rapid and accurate damage detection in built-up areas combining stripmap and spotlight SAR images

نوع: Conference Paper

نویسنده : Marin, C.; Bovolo, F.; Bruzzone, L.

ناشر: IEEE

سال: 2014

A novel sequential spectral change vector analysis for representing and detecting multiple changes in hyperspectral images

نوع: Conference Paper

نویسنده : Sicong Liu; Bruzzone, L.; Bovolo, F.; Peijun Du

ناشر: IEEE

سال: 2014

A novel neural approach for unsupervised change detection using SOM clustering for pseudo-training set selection followed by CSOM classifier

نوع: Conference Paper

نویسنده : Neagoe, V.; Ciurea, A.; Bruzzone, L.; Bovolo, F.

ناشر: IEEE

سال: 2014

Analysis of the Effects of Pansharpening in Change Detection on VHR Images

نوع: Journal Paper

نویسنده : Bovolo, F.; Bruzzone, L.; Capobianco, L.; Garzelli, A.; Marchesi, S.; Nencini, F.

ناشر: IEEE

سال: 2010

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Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data

نوع: Journal Paper

نویسنده : Mũnoz-Marí, J.; Bovolo, F.; Gómez-Chova, L.; Bruzzone, L.; Camp-Valls, G.

ناشر: IEEE

سال: 2010

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A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain

A novel circular approach to change detection in pair of images extracted from image time series

A Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure

Detection of specific changes in image time series by an adaptive change vector analysis

Rapid and accurate damage detection in built-up areas combining stripmap and spotlight SAR images

A novel sequential spectral change vector analysis for representing and detecting multiple changes in hyperspectral images

A novel neural approach for unsupervised change detection using SOM clustering for pseudo-training set selection followed by CSOM classifier

Analysis of the Effects of Pansharpening in Change Detection on VHR Images

Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data

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A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain

A novel circular approach to change detection in pair of images extracted from image time series

A Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity Measure

Detection of specific changes in image time series by an adaptive change vector analysis

Rapid and accurate damage detection in built-up areas combining stripmap and spotlight SAR images

A novel sequential spectral change vector analysis for representing and detecting multiple changes in hyperspectral images

A novel neural approach for unsupervised change detection using SOM clustering for pseudo-training set selection followed by CSOM classifier

Analysis of the Effects of Pansharpening in Change Detection on VHR Images

Semisupervised One-Class Support Vector Machines for Classification of Remote Sensing Data