Method and apparatus for removing irregular stripe noise from nighttime light remote sensing images guided by detection

Abstract

This invention discloses a method and apparatus for detecting and guiding irregular stripe noise removal in nighttime light remote sensing images. The method includes: dividing the original image into areas with strong light sources, no light, and areas to be processed, and enhancing the edges to obtain an enhanced image; performing iterative detection of stripe noise based on the enhanced image using frequency domain analysis and multi-constraint Hough transform to obtain a stripe mask; aligning the stripe mask with the binary image of the original image based on morphological operations and then performing inter-band filtering to obtain a noise-free mask; obtaining the noise target region based on the noise-free mask and the original image; performing progressive noise correction on the noise target region based on a dynamic window and an adaptive correction algorithm to obtain an initial result; and performing residual correction based on the initial result and the strong light source region to obtain a destriped image.

Images