Adaptive digital technique for discriminating between shadow and water bodies in the high resolution satellite imagery
Other Title(s)
تكييف التقنيات الرقمية لل تمييز بين الظل و المسطحات المائية لصور الأقمار الصناعية عالية الدقة
Joint Authors
Hadi, Anaam Kazim
Mahdi, Ala Suud
Source
Issue
Vol. 14, Issue 31 (31 Dec. 2016), pp.81-88, 8 p.
Publisher
University of Baghdad College of Science
Publication Date
2016-12-31
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Mahdi, Ala Suud& Hadi, Anaam Kazim. 2016. Adaptive digital technique for discriminating between shadow and water bodies in the high resolution satellite imagery. Iraqi Journal of Physics،Vol. 14, no. 31, pp.81-88.
https://search.emarefa.net/detail/BIM-722662
Modern Language Association (MLA)
Mahdi, Ala Suud& Hadi, Anaam Kazim. Adaptive digital technique for discriminating between shadow and water bodies in the high resolution satellite imagery. Iraqi Journal of Physics Vol. 14, no. 31 (2016), pp.81-88.
https://search.emarefa.net/detail/BIM-722662
American Medical Association (AMA)
Mahdi, Ala Suud& Hadi, Anaam Kazim. Adaptive digital technique for discriminating between shadow and water bodies in the high resolution satellite imagery. Iraqi Journal of Physics. 2016. Vol. 14, no. 31, pp.81-88.
https://search.emarefa.net/detail/BIM-722662
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 88
Record ID
BIM-722662