AN AUTOMATIC TARGET RECOGNITION ALGORITHM FOR AERIAL PHOTO BASED ON NEURAL NETWORK
一个基于神经网络的航空照片自动目标识别算法

Due to the complexity of automatic target recognition for aerial photo this paper describes an automatic target recognition algorithm based on neural network. It includes two stages, target detection and false-alarm rejection. The first stage operates on the entire image to detect potential targets quickly. The second stage attempts to reject false target-like objects while retaining as many targets as possible. The experimental results show the algorithm is feasible.