Space-adaptive Convolution Kernel Filtering For Infrared Dim Target Detection
LING Qiang;HUANG Shu-cai;WU Xiao;TANG Yi-dong;Air and Missile Defense College, Air Force Engineering University;
In order to reduce the effect that caused by smooth background edge of the complex infrared image, space-adaptive convolution kernel filtering operator is proposed for infrared dim target detection based on the anisotropy PM diffusion model. And the diffusion parameter is optimized. A method of diffusion parameterestimation based on Sobel edge detection operator is proposed. SNR and ROC curve are used to evaluate the method. The experimental results show that the edge is suppressed effectively, the SNR is improved greatly, the detection probability is improved, and the false-alarm probability is reduced compared with the PM diffusion model filtering and median filtering.
【CateGory Index】： TP391.41