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| Knowledge-Based Bridge Recognition in
High Resolution Optical Imagery |
| Wu Fan①; Wang Chao ①②; Zhang Hong③①; Zhang Bo①; Zhang Wei-sheng① |
①State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China;②China Remote Sensing Satellite Ground Station, Chinese Academy of Sciences, Beijing 100086, China; ③State Key Laboratory of Remote Sensing Science, College of Geography and Remote Sensing,
Beijing Normal University, Beijng 100875, China |
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Abstract Bridge detection in remote sensing imagery has been a topic of considerable interest. In this paper, a new flow of bridge recognition in high-resolution optical imagery is proposed. Based on the prior knowledge of bridge, potential river regions are segmented and thus the centerline of rivers can be extracted after morphology erosion and dilation operations. Then the bridge detector is implemented along the river centerline in ROI regions. After that, the detected bridges are identified by using two knowledge rules and the characteristics such as location, length, width and orientation of detected bridges can be obtained. Experiments are executed on the SPOT-5 5m-resolution panchromatic imagery, and the results are showing to confirm the validity of the proposed method.
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Received: 18 October 2004
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2006, Vol. 28 
