Research on Algorithms for Recovering Landsat - 7 Gap Data

This paper in-depth discusses the international remote sensing research focus that scan line corrector failure ,in the course of remote sensing satellites, led to remote sensing images need to repair cracks. Such remote sensing images based on accuracy and geometric accuracy of radiation has not been affected, with good usability features. This paper adopts the method of using simulated image gap to repair the fault remote sensing images, respectively, quantitative comparative analysis of regression algorithm such as the global histogram matching algorithm, local histogram matching algorithm, adaptive window histogram matching algorithm and adaptive window regressions algorithm, to find out the different circumstances of each image data gap repair method best. This will improve the utilization of remote sensing data is of great significance.