Optimization design of soft morphological filters for noisy remote sensing images

Noise is formed during the imaging of remote sensing image, filtering the noised image and retrieving the useful image is becoming the basis of further research and application. This paper presents an optimal design of soft morphological filters by simulated annealing. The results of computer simulation show that the optimal soft morphological filters are rather effective in restoration of noisy remote sensing images.