关键词: 雷达回波, 特征提取, 灰度共生矩阵, 反向传播算法

Abstract: It is difficult for the high-way green channel inspection department to detect prohibited goods in the vehicle by artificial methods. In order to solve this problem, this paper put forward a discernment and classification method based on Back-Propagation (BP) neural network, making use of gray level co-occurrence matrix to extract feature from collected radar echo image with banana. Furthermore, the software for discernment and classification of radar echo image with banana was programmed. Practical application in the highway green channel inspection department in Henan province shows that the software has good discernment and classification performance.

Key words: radar echo, feature extraction, gray level co-occurrence matrix, Back Propagation (BP) algorithm