The invention discloses a
black edge detection and removal method and device for a
remote sensing image, and a medium. The method comprises the following steps: carrying out strip division preprocessing on the
remote sensing image; a multi-index parallel strategy is adopted to count the feature statistical value of each strip; using a bidirectional
mutation detection
algorithm to compare the characteristic statistical values of the adjacent strips, and obtaining a
black edge suspected area; after structure
verification is carried out on the suspected black-edge area, multi-scale strip fusion analysis is carried out to locate a black-edge area; and carrying out geometric characteristic constraint on the accurate positioning area, dividing a
black edge area and carrying out labeling to generate a structured report. According to the method, various regular and incomplete black edges such as
image edge strip-shaped black edges, center strip-shaped black edges and edge plane-shaped black edges can be detected, the defect that most of existing algorithms can only aim at one or two of the black edges is overcome, meanwhile, multi-sensor data
adaptation is adopted, the method is suitable for various
remote sensing data types, and the method is suitable for large-scale popularization and application. The limitation that a traditional quality inspection
system is only suitable for a single sensor source is broken through.