基于知識的中高分辨率光學衛(wèi)星遙感影像橋梁目標識別研究
Knowledge-Based Bridge Recognition in High Resolution Optical Imagery
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摘要: 橋梁是重要的人工建筑。對橋梁進行識別研究，在民用上和軍事上都具有很重要的意義。該文提出一套針對中高分辨率光學衛(wèi)星遙感圖像上大中型橋梁的檢測和識別的流程。首先根據(jù)光學衛(wèi)星圖像特點，運用分割和形態(tài)學算子提取河流；沿著河流中心線對橋梁進行檢測；經(jīng)過邊緣提取、線段跟蹤、直線擬合、邊線配對等處理后對檢測出的橋梁進行定位，并獲取長度、寬度、方位等橋梁參數(shù)。以SPOT-5 5m全色波段圖像進行驗證，證明本文算法流程對河流上橋梁目標識別是有效的。
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關(guān)鍵詞:
- 衛(wèi)星影像;橋梁目標識別;形態(tài)學;直線擬合
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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