Adaptive digital technique for discriminating between shadowand water bodies in the high resolution satellite imagery

Abstract

This research presents a new algorithm for classification the shadow and water bodies for high-resolution satellite images (4-meter) of Baghdad city, have been modulated the equations of the color space components C1-C2-C3. Have been using the color space component C3 (blue) for discriminating the shadow, and has been used C1 (red) to detect the water bodies (river). The new technique was successfully tested on many images of the Google earth and Ikonos. Experimental results show that this algorithm effective to detect all the types of the shadows with color, and also detects the water bodies in another color. The benefit of this new technique to discriminate between the shadows and water in fast Matlab program.

Keywords

This research presents a new algorithm for classification the shadow and water bodies for high-resolution satellite images, 4-meter of Baghdad city, have been modulated the equations of the color space components C1-C2-C3. Have been using the color space component C3, blue for discriminating the shadow, and has been used C1, red to detect the water bodies, river. The new technique was successfully tested on many images of the Google earth and Ikonos. Experimental results show that this algorithm effective to detect all the types of the shadows with color, and also detects the water bodies in another color. The benefit of this new technique to discriminate between the shadows and water in fast Matlab program. Remote Sensing Images, Shadow and Water Detection, Classification of High Resolution Images and Recognizing Patterns.