DocumentCode :
2245206
Title :
MSER based shadow detection in high resolution remote sensing image
Author :
Yu, Hai-Yan ; Sun, Jun-Ge ; Liu, Li-Ning ; Wang, Yun-Hong ; Wang, Yi-Ding
Author_Institution :
Sch. of Comput. Sci. & Eng., Beihang Univ., Beijing, China
Volume :
2
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
780
Lastpage :
783
Abstract :
The shadows are regarded as obstacles in remote sensing image analysis. With high-resolution remote sensing images developed, especially in urban area, shadow detection plays a much more important role in many applications. This paper presents a novel vision-based shadow detection method. The shadow areas are usually much darker than non-shadow areas visually in high resolution images. In our method, we extracted MSER (Maximally Stable Extremal Regions) in the image. Then these regions are classified into shadow-areas and non-shadow areas. Our method is experimentally verified by applying it to Quickbird images. The experimental result shows that it can effectively extract shadow areas in high resolution remote sensing images.
Keywords :
feature extraction; geographic information systems; image resolution; remote sensing; MSER based shadow detection; Quickbird images; high resolution remote sensing image; maximally stable extremal regions; remote sensing image analysis; shadow extraction; vision-based shadow detection; Accuracy; Image color analysis; Image resolution; Pixel; Remote sensing; Satellites; Urban areas; MSER; Remote sensing; Shadow detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
Type :
conf
DOI :
10.1109/ICMLC.2010.5580577
Filename :
5580577
Link To Document :
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