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[IEEE 2007 9th International Symposium on Signal Processing and Its Applications (ISSPA) - Sharjah, United Arab Emirates (2007.02.12-2007.02.15)] 2007 9th International Symposium on Signal Processing and Its Applications - Fusion of MRI and PET images using retina based multi-resolution transforms

Type: Journal Paper

Author : Daneshvar, Sabalan; Ghassemian, Hassan

Year: 2007

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Band Clustering-Based Feature Extraction for Classification of Hyperspectral Images Using Limited Training Samples

Type: Journal Paper

Author : Imani, Maryam; Ghassemian, Hassan

Publisher: IEEE

Year: 2014

Boundary based discriminant analysis for feature extraction in classification of hyperspectral images

Type: Conference Paper

Author : Imani, Maryam; Ghassemian, Hassan

Publisher: IEEE

Year: 2014

A Pixon-based hyperspectral image segmentation method used for remote sensing data classification

Type: Conference Paper

Author : Zehtabian, Amin; Ghassemian, Hassan

Publisher: IEEE

Year: 2014

Object-based multispectral image segmentation and classification

Type: Conference Paper

Author : Mirzapour, Fardin; Ghassemian, Hassan

Publisher: IEEE

Year: 2014

Fast feature selection methods for classification of hyperspectral images

Type: Conference Paper

Author : Imani, Maryam; Ghassemian, Hassan

Publisher: IEEE

Year: 2014

An unsupervised feature extractionl method for classification of hyperspectral images

Type: Conference Paper

Author : Imani, Maryam; Ghassemian, Hassan

Publisher: IEEE

Year: 2014

Hyperspectral image classification based on spatial graph kernel

Type: Conference Paper

Author : Borhani, Mostafa; Ghassemian, Hassan

Publisher: IEEE

Year: 2014

Linear Feature Extraction for Hyperspectral Images Based on Information Theoretic Learning

Type: Journal Paper

Author : Kamandar, Mehdi; Ghassemian, Hassan

Year: 2013

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A new approach to hyperspectral data compression using rational function approximation for spectral response curve fitting

Type: Conference Paper

Author : Hosseini, S.Abolfazl; Ghassemian, Hassan

Publisher: IEEE

Year: 2014

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[IEEE 2007 9th International Symposium on Signal Processing and Its Applications (ISSPA) - Sharjah, United Arab Emirates (2007.02.12-2007.02.15)] 2007 9th International Symposium on Signal Processing and Its Applications - Fusion of MRI and PET images using retina based multi-resolution transforms

Band Clustering-Based Feature Extraction for Classification of Hyperspectral Images Using Limited Training Samples

Boundary based discriminant analysis for feature extraction in classification of hyperspectral images

A Pixon-based hyperspectral image segmentation method used for remote sensing data classification

Object-based multispectral image segmentation and classification

Fast feature selection methods for classification of hyperspectral images

An unsupervised feature extractionl method for classification of hyperspectral images

Hyperspectral image classification based on spatial graph kernel

Linear Feature Extraction for Hyperspectral Images Based on Information Theoretic Learning

A new approach to hyperspectral data compression using rational function approximation for spectral response curve fitting

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[IEEE 2007 9th International Symposium on Signal Processing and Its Applications (ISSPA) - Sharjah, United Arab Emirates (2007.02.12-2007.02.15)] 2007 9th International Symposium on Signal Processing and Its Applications - Fusion of MRI and PET images using retina based multi-resolution transforms

Band Clustering-Based Feature Extraction for Classification of Hyperspectral Images Using Limited Training Samples

Boundary based discriminant analysis for feature extraction in classification of hyperspectral images

A Pixon-based hyperspectral image segmentation method used for remote sensing data classification

Object-based multispectral image segmentation and classification

Fast feature selection methods for classification of hyperspectral images

An unsupervised feature extractionl method for classification of hyperspectral images

Hyperspectral image classification based on spatial graph kernel

Linear Feature Extraction for Hyperspectral Images Based on Information Theoretic Learning

A new approach to hyperspectral data compression using rational function approximation for spectral response curve fitting