Adaptive digital technique for discriminating between shadowand water bodies in the high resolution satellite imagery | ||
| Iraqi Journal of Physics | ||
| Article 1, Volume 14, Issue 31, December 2016, Pages 81-88 | ||
| Authors | ||
| Alaa Soud Mahdi; Anaam Kadhim Hadi | ||
| 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; meter; have been modulated the equations of the color space components C; Have been using the color space component C; and has been used C; 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 | ||
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