Because of the complexity of the microwave radiation characteristics

the recognition for objects with comprehensive structure such as habitations from Synthetic Aperture Radar(SAR) image is still in investigation. A new method for extraction of habitation areas from SAR images is presented. In accordance with the mechanism of the microwave dispersion

the texture feature of habitation on SAR image was analyzed. Based on the technology of texture analysis

pattern recognition and color space transformation

the main steps of the new method to extract the habitation areas from SAR image are: firstly

many texture images are generated by analyzing the Gray Level Co occurrence Matrix(GLCM); Secondly

3 suitable texture images

in which the habitation areas contrast to background clearly

are selected from all of the texture images to combine an artifical color texture image; Thirdly the color texture image is transformed into the intensity image by the HIS color space transformation technique; Finally

a threshold was used to decide whether each pixel on the intensity image belongs to habitation or not. Experiments illustrate that this method is adaptable and its right recognition rate is beyond 70 percentages.