Components segmentation algorithm for space target isar image based on clean

Space target ISAR image components segmentation is an important foundation of space target recognition based on ISAR image. Considering the difference between the ISAR image and optical image and the main body has the diverse distribution of pixels from the subcomponent in the ISAR image, this paper proposes a segmentation idea that subcomponent segments after the main body based on CLEAN: firstly, we develop an adaptive region growing method to segment the main body that emphatically analyses and solves the setting problem of the threshold of region growing method; then, in order to divide the residual subcomponent, we exploit the proximity of pixels in the ISAR image to propose an iterative correlation clustering method based on perceptual organization. Finally, some simulation experiments are conducted to verify the validity of our methods.