Aircraft Recognition in High-Resolution Optical Satellite Remote Sensing Images
Aircraft Recognition in High-Resolution Optical Satellite Remote Sensing Images
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DOI：
10.1109/lgrs.2014.2328358
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发表时间：
2015
影响因子：
4.8
通讯作者：
Qichang Wu;Hao Sun-;Xian Sun;Daobing Zhang;Kun Fu;Hongqi Wang
中科院分区：
文献类型：
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作者：
Qichang Wu;Hao Sun-;Xian Sun;Daobing Zhang;Kun Fu;Hongqi Wang
飞机自动识别是一项具有挑战性的任务。传统的识别方法都是先提取出飞机的总体形状，然后根据提取的形状用不同的特征来表示飞机。这些方法的主要问题是对形状提取的要求较高，对于卫星图像中的目标过于理想化。本文提出了一种新的飞机识别方法，该方法在不需要精确提取飞机轮廓或形状的前提下，能够鲁棒地识别飞机，并且能够处理飞机零部件丢失和阴影干扰的情况。具体而言，首先提出了一种方向估计方法，以将飞行器对准到同一方向。然后，提出了一种基于重构的相似性度量，将类型识别问题转化为重构问题。最后，提出了一种拼图匹配追踪算法来解决重建问题。利用全色Quickbird影像进行评价，实验结果表明，该方法是有效和准确的。
Automatic aircraft recognition is a challenging task. Conventional methods always extract the overall shapes of aircraft at first and then represent the aircraft based on the extracted shape with different features for recognition. The major problem of these methods is that they have a high requirement on shape extraction, which is too idealistic for targets in satellite images. In this letter, we propose a new aircraft recognition approach that can recognize aircraft robustly without perfect extraction of silhouette or shape of aircraft as a precondition, and can deal with the situation of parts missing and shadow disturbance. Specifically, a direction estimation method is proposed first to align aircraft to a same direction. Then, a reconstruction-based similarity measure is proposed, which transforms the type recognition problem into a reconstruction problem. Finally, a jigsaw matching pursuit algorithm is proposed to solve the reconstruction problem. We use panchromatic Quickbird imagery for evaluation, and the experimental results illuminate that the proposed method is effective and accurate.