Illumination invariance feature extraction-based remote sensing image change detection method

Abstract

The invention discloses an illumination invariance feature extraction-based remote sensing image change detection method, a device, equipment and a computer readable storage medium. The method comprises the steps of carrying out the image super-resolution of a to-be-detected original remote sensing image through employing a pre-selected image super-resolution algorithm based on deep learning, andobtaining a high-resolution remote sensing image; performing illumination invariance feature extraction on the high-resolution remote sensing image by using an illumination invariance feature extraction algorithm based on a position sensitive histogram to obtain an illumination feature map of the high-resolution remote sensing image; and performing change detection on the illumination feature mapby using a pre-selected remote sensing image change detection algorithm to obtain a change detection result map of the original remote sensing image. According to the method, the device, the equipmentand the computer readable storage medium provided by the invention, the influence of great difference on judgment of the same object in change detection due to different illumination is avoided, andthe accuracy of a change detection result is improved.

Description

technical field [0001] The present invention relates to the technical field of remote sensing image processing, in particular to a remote sensing image change detection method, device, equipment and computer-readable storage medium based on illumination invariance feature extraction. Background technique [0002] In satellite remote sensing image processing, change detection algorithms are widely used, and have a place in civil, surveying and mapping, and natural disasters. They are mainly used for information acquisition of changes in forests and vegetation, urban expansion, and earthquakes, floods, mudslides, and forest fires. Disaster monitoring and assessment. Change detection quantitatively analyzes and determines the changes of ground features in remote sensing images of different periods. [0003] However, traditional change detection algorithms have strict requirements on the similarity of remote sensing images in different periods. For the difference in illuminati...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a remote sensing image change detection method, device, equipment and computer-readable storage medium based on illumination invariance feature extraction to solve the problem that the change detection algorithm in the prior art is affected by the difference in illumination, resulting in accurate change detection The problem of greatly reduced sex

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