Landslide change detection method based on remote sensing image, storage medium and electronic device
A remote sensing image and change detection technology, applied in the application field of remote sensing technology, can solve the problem of low accuracy of landslide change detection
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Embodiment 1
[0047] This embodiment provides a landslide change detection method based on remote sensing images, which can be applied to the controller in the landslide change detection system. figure 1 and figure 2 As shown, it includes the following steps:
[0048] S101: Data acquisition step: acquire a plurality of remote sensing images on the surface of the monitored area, and different remote sensing images correspond to different time phases; the time phase is preferably in the rainy season of summer time, preferably in July and August. For example, from 2009 to 2018, a remote sensing image is selected in July and August each year. Such as figure 2 As shown, the remote sensing image in this step can be obtained by using long-sequence Landsat remote sensing data, which may specifically include:
[0049] (1) After obtaining the Landsat remote sensing data, use the existing remote sensing software to convert the digital quantization value of the remote sensing data into physical qu...
Embodiment 2
[0062] The landslide change detection method based on remote sensing images provided in this embodiment, on the basis of the scheme of Embodiment 1, in step S102, the remote sensing images are divided into high vegetation coverage zones and low vegetation coverage zones according to the pixel data in the current phase remote sensing images Overlay partitions include:
[0063] S201: Acquire texture feature data of a remote sensing image, where the texture feature data includes texture average brightness data and texture image grayscale distribution uniformity data. Among them: texture feature analysis based on Gray Level Co-occurrence Matrix (GLCM) is a commonly used texture feature analysis method. It obtains the corresponding texture descriptor based on the statistical analysis of the gray level co-occurrence matrix to effectively express the texture features. The gray-scale co-occurrence matrix is a symmetric matrix P obtained by counting the joint probability distributio...
Embodiment 3
[0081] This embodiment provides a computer-readable storage medium, in which program instructions for computer reading are stored, and after the computer reads the program instructions, it executes the method based on any solution in Embodiment 1 or 2. A Landslide Change Detection Method Based on Remote Sensing Imagery.
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