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A Novel Approach to the Selection of Spatially Invariant Features for the Classification of Hyperspectral Images With Improved Generalization Capability

Type: Journal Paper

Author : Bruzzone, L.; Persello, C.

Year: 2009

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

Type: Journal Paper

Author : Bovolo, F.; Bruzzone, L.

Publisher: IEEE

Year: 2007

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Classification of hyperspectral remote sensing images with support vector machines

Type: Journal Paper

Author : Melgani, F.; Bruzzone, L.

Publisher: IEEE

Year: 2004

Biophysical parameters estimation from remotely sensed images by a multiple criteria active learning method

Type: Conference Paper

Author : Demir, B. , Bruzzone, L.

Publisher: IEEE

Year: 2014

A Batch-Mode Active Learning Technique Based on Multiple Uncertainty for SVM Classifier

Type: Journal Paper

Author : Patra, S.; Bruzzone, L.

Year: 2012

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Mantis hybrid leg-wheel robot: Stability analysis and motion law synthesis for step climbing

Type: Conference Paper

Author : Bruzzone, L.; Fanghella, P.

Publisher: IEEE

Year: 2014

Relevant and invariant feature selection of hyperspectral images for domain generalization

Type: Conference Paper

Author : Persello, C.; Bruzzone, L.

Publisher: IEEE

Year: 2014

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

Type: Conference Paper

Author : Bruzzone, L.; Bovolo, F.

Publisher: IEEE

Year: 2014

Unsupervised retraining of a maximum likelihood classifier for the analysis of multitemporal remote sensing images

Type: Journal Paper

Author : Bruzzone, L.; Prieto, D.F.

Year: 2001

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Kernel-based methods for hyperspectral image classification

Type: Journal Paper

Author : Camps-Valls, G.; Bruzzone, L.

Publisher: IEEE

Year: 2005

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A Novel Approach to the Selection of Spatially Invariant Features for the Classification of Hyperspectral Images With Improved Generalization Capability

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

Classification of hyperspectral remote sensing images with support vector machines

Biophysical parameters estimation from remotely sensed images by a multiple criteria active learning method

A Batch-Mode Active Learning Technique Based on Multiple Uncertainty for SVM Classifier

Mantis hybrid leg-wheel robot: Stability analysis and motion law synthesis for step climbing

Relevant and invariant feature selection of hyperspectral images for domain generalization

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

Unsupervised retraining of a maximum likelihood classifier for the analysis of multitemporal remote sensing images

Kernel-based methods for hyperspectral image classification

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A Novel Approach to the Selection of Spatially Invariant Features for the Classification of Hyperspectral Images With Improved Generalization Capability

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

Classification of hyperspectral remote sensing images with support vector machines

Biophysical parameters estimation from remotely sensed images by a multiple criteria active learning method

A Batch-Mode Active Learning Technique Based on Multiple Uncertainty for SVM Classifier

Mantis hybrid leg-wheel robot: Stability analysis and motion law synthesis for step climbing

Relevant and invariant feature selection of hyperspectral images for domain generalization

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

Unsupervised retraining of a maximum likelihood classifier for the analysis of multitemporal remote sensing images

Kernel-based methods for hyperspectral image classification