COMPARISON OF TARGET DETECTION RESULTS IN A FOREST WHETHER THE BRANCHES ARE COVERED WITH SNOW BASED ON P-BAND AIRBORNE SAR QUAD-POL IMAGES

An airborne P-band SAR experiment was conducted to detect targets in a forest in October 2019 and different results of target detection in the forest under snow-covered and snow-free states were obtained. When there is no snow on the branches, the targets in the forest are not easy to be seen in the image, but when the branches are covered with snow, the targets in the forest are clearly visible in the image Three quad-pol data sets were used for this paper to compare and analyze the differences of target detection in the forest that Yamaguchi Four Component Decomposition and H/alpha unsupervised classification methods were used to explain. The results reveal that snow affects the scattering characteristics of the forest, and indirectly affects the penetration depth of the P-band electromagnetic waves into the forest, resulting in a large difference between the two detection results.