Hybridization of colour information with texture by using mutual information for the classification of satellite images

Author

El Maia, Hassan ; Hammouch, Ahmed ; Aboutajdine, Driss

Author_Institution

Fac. of Sci., Mohamed V-Agdal Univ., Rabat, Morocco

fYear

2009

fDate

2-4 April 2009

Firstpage

372

Lastpage

376

Abstract

In this article a construction of hybrid colour space from a set of classic colours spaces by using the algorithm MRMR is proposed. This algorithm is based on the mutual information. Our approach is evaluated on SPOT HRV (XS) image representing two forest areas in the region of Rabat. Feature extraction is done by the cooccurrence matrix. The SVM (Support Vectors Machine) classifier is used.

Keywords

feature extraction; image classification; image colour analysis; image texture; matrix algebra; support vector machines; SPOT HRV image representation; cooccurrence matrix; feature extraction; hybrid colour space; minimal-redundancy-maximal-relevance algorithm; mutual information; satellite image classification; support vector machine classifier; texture colour information; Feature extraction; Gray-scale; Heart rate variability; Image analysis; Image color analysis; Image texture analysis; Mutual information; Satellites; Support vector machine classification; Support vector machines; MRMR; SVM; colour; cooccurrence matrix; hybrid color space; satellite image; texture;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Computing and Systems, 2009. ICMCS '09. International Conference on

Conference_Location

Ouarzazate

Print_ISBN

978-1-4244-3756-6

Electronic_ISBN

978-1-4244-3757-3

Type

conf

DOI

10.1109/MMCS.2009.5256671

Filename

5256671