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机构地区:[1]华中科技大学图像识别与人工智能研究所 [2]图像信息处理与智能控制教育部重点实验室,湖北武汉430074
出 处:《华中科技大学学报(自然科学版)》2004年第6期13-15,共3页Journal of Huazhong University of Science and Technology(Natural Science Edition)
基 金:国家自然科学基金资助项目 (6 0 135 0 2 0FF0 30 4 0 5 )
摘 要:根据机场这一典型目标的成像特点 ,将打击前后的机场图像配准 ,分别从打击前的机场图、配准图中分割出打击前、打击后的跑道 ,通过比较它们之间的变化 ,剔除伪弹坑 ,保留真实弹坑 ,再将完好跑道区域和真实弹坑合成一幅评估用图 .自动评估时 ,以敌机起降所必需的最小起降窗口在此图中进行滑动 ,根据能否找到可供起降的区域来评估机场的打击效果 .An automatic method for assessing the damage extent of an attacked airport based on the image taken before and after a strike was described. The runways region was extracted from the pre-strike airport image. The pre-strike and post-strike airport images were registered. The runways were segmented from the pre-strike airport image and the registered image. By detecting the changes between them, the “illusive crater” was eliminated and the real one reserved. A new image from the runways region image and the real crater image was synthesized to make automatic battle damage assessment. The experiments show that the proposed method made the evaluation of a strike fast and accurate with a little human participation.
分 类 号:TN911.73[电子电信—通信与信息系统]
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