10 April 2018 An improvement of vehicle detection under shadow regions in satellite imagery
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Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106154D (2018) https://doi.org/10.1117/12.2303518
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
The processing of satellite imagery is dependent upon the quality of imagery. Due to low resolution, it is difficult to extract accurate information according to the requirements of applications. For the purpose of vehicle detection under shadow regions, we have used HOG for feature extraction, SVM is used for classification and HOG is discerned worthwhile tool for complex environments. Shadow images have been scrutinized and found very complex for detection as observed very low detection rates therefore our dedication is towards enhancement of detection rate under shadow regions by implementing appropriate preprocessing. Vehicles are precisely detected under non-shadow regions with high detection rate than shadow regions.
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Shahid Karim, Ye Zhang, Saad Ali, Muhammad Rizwan Asif, "An improvement of vehicle detection under shadow regions in satellite imagery", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106154D (10 April 2018); doi: 10.1117/12.2303518; https://doi.org/10.1117/12.2303518
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