A study of landmine target recognition based on Mahalanobis distance template feature
Cheng-Hao WANG1,2, Dan-Dan CHENG1
1. China Research Institute of Radiowave Propagation, Qingdao 266107, China 2. Science and Technology on Near Surface Detection Laboratory, Wuxi 214035, China
Mine detection by ground penetrating radar is an important application direction, and its detection effect on non-metallic mines or mines with low metal content is remarkable. In this paper, aimed at tackling the problem that the target feature extraction is difficult when the ground penetrating radar detects the mine, the authors propose the SVM recognition algorithm based on the Mahalanobis distance template feature and give the recognition result. This method can effectively extract the target characteristics of mines, and is helpful to data interpretation of ground penetrating radar and recognition and location of mine targets.
王成浩, 程丹丹. 基于马氏距离模板特征的地雷目标识别研究[J]. 物探与化探, 2019, 43(4): 899-903.
Cheng-Hao WANG, Dan-Dan CHENG. A study of landmine target recognition based on Mahalanobis distance template feature. Geophysical and Geochemical Exploration, 2019, 43(4): 899-903.
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