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

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...

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Main Author: Anaam Kadhim Hadi
Format: Article
Language:English
Published: University of Baghdad 2019-01-01
Series:Iraqi Journal of Physics
Subjects:
Online Access:https://ijp.uobaghdad.edu.iq/index.php/physics/article/view/174
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author Anaam Kadhim Hadi
author_facet Anaam Kadhim Hadi
author_sort Anaam Kadhim Hadi
collection DOAJ
description 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.
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spelling doaj.art-8128f91a2c9f4e7e82b1ecae12ef82f02023-03-14T05:30:30ZengUniversity of BaghdadIraqi Journal of Physics2070-40032664-55482019-01-01143110.30723/ijp.v14i31.174Adaptive digital technique for discriminating between shadow and water bodies in the high resolution satellite imageryAnaam Kadhim Hadi 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. https://ijp.uobaghdad.edu.iq/index.php/physics/article/view/174Remote Sensing Images, Shadow and Water Detection, Classification of High Resolution Images and Recognizing Patterns.
spellingShingle Anaam Kadhim Hadi
Adaptive digital technique for discriminating between shadow and water bodies in the high resolution satellite imagery
Iraqi Journal of Physics
Remote Sensing Images, Shadow and Water Detection, Classification of High Resolution Images and Recognizing Patterns.
title Adaptive digital technique for discriminating between shadow and water bodies in the high resolution satellite imagery
title_full Adaptive digital technique for discriminating between shadow and water bodies in the high resolution satellite imagery
title_fullStr Adaptive digital technique for discriminating between shadow and water bodies in the high resolution satellite imagery
title_full_unstemmed Adaptive digital technique for discriminating between shadow and water bodies in the high resolution satellite imagery
title_short Adaptive digital technique for discriminating between shadow and water bodies in the high resolution satellite imagery
title_sort adaptive digital technique for discriminating between shadow and water bodies in the high resolution satellite imagery
topic Remote Sensing Images, Shadow and Water Detection, Classification of High Resolution Images and Recognizing Patterns.
url https://ijp.uobaghdad.edu.iq/index.php/physics/article/view/174
work_keys_str_mv AT anaamkadhimhadi adaptivedigitaltechniquefordiscriminatingbetweenshadowandwaterbodiesinthehighresolutionsatelliteimagery