Image and Graphics, International Conference on (2004)
Hong Kong, China
Dec. 18, 2004 to Dec. 20, 2004
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIG.2004.54
Yanqing Wang , Inst. of Autom., Chinese Acad. of Sci., Beijing, China
Ming Tang , Inst. of Autom., Chinese Acad. of Sci., Beijing, China
Tieniu Tan , Inst. of Autom., Chinese Acad. of Sci., Beijing, China
Xianqing Tai , Inst. of Autom., Chinese Acad. of Sci., Beijing, China
This paper aims to detect circular oil tanks automatically by using both SAR and optical images. The proposed method consists of two main steps: first, the bright areas are extracted from the SAR image to obtain the candidate regions for oil tanks; second, shape detection is performed in the optical image on these corresponding candidate areas, before we finally determine whether they are oil tanks or not. Prior knowledge, such as the validate dimensions of oil tanks and the group emerging property, is taken into account in this method. The experimental results demonstrate the effectiveness of the proposed method.
Fuel storage, Optical sensors, Adaptive optics, Optical filters, Object detection, Image edge detection, Shape, Image recognition, Image sensors, Image segmentation
Yanqing Wang, Ming Tang, Tieniu Tan and Xianqing Tai, "Detection of circular oil tanks based on the fusion of SAR and optical images," Image and Graphics, International Conference on(ICIG), Hong Kong, China, , pp. 524-527.