against aerial photographs Automatic Target Recognition of complexity. This paper presents a neural network-based automatic target recognition algorithm, the algorithm including the detection and false alarm ruled out in two stages. Frederick stage is a cut in the whole region i linked to fast-track the search. To identify all possible targets false alarm remove obstacles stage of the testing phase results further verification, reservations at all possible real targets on the premise that goal will be to exclude false. Experimental results demonstrate the feasibility of the algorithm. Keywords neural network, aerial photographs, automatic target recognition

一个基于神经网络的航空照片自动目标识别算法.pdf

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