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Proceedings Paper

An improvement of vehicle detection under shadow regions in satellite imagery
Author(s): Shahid Karim; Ye Zhang; Saad Ali; Muhammad Rizwan Asif
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Paper 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.

Paper Details

Date Published: 10 April 2018
PDF: 7 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106154D (10 April 2018); doi: 10.1117/12.2303518
Show Author Affiliations
Shahid Karim, Harbin Institute of Technology (China)
Ye Zhang, Harbin Institute of Technology (China)
Saad Ali, Harbin Institute of Technology (China)
Muhammad Rizwan Asif, Xi’an Jiaotong Univ. (China)

Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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