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Land Cover Change Detection Using Gabor Filter Texture

We wish to detect land cover change for environment management. Gabor filters are used to correlate with original land cover images to derive texture information. This paper investigates a texture based image description in which the standardised MPEG-7 Homogeneous Texture Descriptors (HTD) of Gabor filters are used as the textural feature vector. Then this vector is input to a discriminant classifier using linear regression analysis. This paper presents the result of possible change detection of arable land. Experiment results show that the MPEG-7 texture descriptor gives an efficient and effective classification rate on land cover images.