Title :
Framework design and implementation for oil tank detection in optical satellite imagery
Author :
Zhu, Chenxian ; Liu, Bin ; Zhou, Yuhao ; Yu, Qiuze ; Liu, Xingzhao ; Yu, Wenxian
Author_Institution :
Geospatial Inf. Technol. Center, Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
In this paper, we propose a coarse-to-fine framework design and implementation for oil tank detection in optical satellite imagery. The framework is mainly composed of two operations: 1) from the whole scene imagery, extraction of patches with oil tanks based on the probabilistic latent semantic analysis model; 2) in the relatively small size patches, detection of the oil tanks with Hough transform and template matching. Experiments show that the framework provides a promising solution for oil tank detection in optical satellite imagery.
Keywords :
Hough transforms; automatic optical inspection; feature extraction; fuel storage; geophysical image processing; image matching; natural scenes; object detection; optical images; probability; statistical analysis; tanks (containers); Hough transform; coarse-to-fine framework design; oil tank detection; optical satellite imagery; patche extraction; probabilistic latent semantic analysis model; scene imagery; template matching; Fuel storage; Optical design; Optical imaging; Optical sensors; Satellites; Semantics; Transforms; Coarse-to-fine framework; detection; oil tank; optical satellite imagery;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352236
