Remote sensing image enhancement method for green exploration

Abstract

The invention discloses a green exploration-oriented remote sensing image enhancement method. The method comprises the following steps of: obtaining an original image of a target area and preprocessing the original image to generate a first image; and performing terrain classification on the first image through a region segmentation algorithm, and extracting wetland and forest regions to form a second image. Aiming at the wetland boundary illumination change, analyzing the illumination intensity and adjusting the brightness to generate a third image; and optimizing a wetland water body and vegetation boundary through an adaptive contrast modulation algorithm to obtain a fourth image. And extracting color distribution characteristics, dynamically adjusting hue and saturation to generate a fifth image, performing characteristic enhancement on the forest vegetation area, and highlighting textures and soil boundaries to form a sixth image. And if the edge sharpness of the earth surface features is insufficient, iteratively optimizing the contrast and color parameters to generate a final optimized image. According to the method, the recognition precision and definition of the ecological region under the complex terrain are remarkably improved, and efficient technical support is provided for ecological environment monitoring and protection.

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