The PSF correction method for satellite image restoration

The sensor conversion of the top of the atmosphere signals (TOAS) to reflectivity representing the land surface target characters is an important sector in remote sensing information quantification. Assuming that the atmosphere disturbance is excluded because of the adjacency effect among pixels, the DN value of a target pixel contains the scatter contributions of the background pixels. The magnitude of the contribution is directly proportional to the background pixel reflectivity and is correlative with the distance to target pixel. The adjacency effect leads to blurry surface edges and low contrast in remote sensing images, which result in the uncertainty of remote sensing information and difficulty of quantitative explanation of surface features. Along with the increase of satellite spatial resolution and remote sensing information quantification degree, the adjacency effect and its correction methods are researched to restore images. Based on the radiation transfer model, the adjacency effect in a scene of LandsatS TM data of Beijing (as an example) is analyzed and corrected. A significant improvement of the image quality was achieved.