Ecological environment detection method and system based on multispectral remote sensing fusion technology

Through the ecological environment detection method based on multi-spectral remote sensing fusion technology, the data quality problem of traditional remote sensing technology in severe weather conditions is solved, and high-precision ecological environment detection is achieved.

CN119418226AActive Publication Date: 2025-02-11GUIZHOU UNIV
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Patent Information

Application Number
CN202510027158.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-01-08
Publication Date
2025-02-11
Estimated Expiration
2045-01-08

AI Technical Summary

Technical Problem

Traditional remote sensing technology is affected by atmospheric scattering and absorption in autumn and winter, cloudy and foggy days, resulting in a decline in data quality. The defogging effect of multi-spectral remote sensing images is inconsistent, with low accuracy, resulting in large errors in ecological environment detection.

Method used

Using the ecological environment detection method based on multispectral remote sensing fusion technology, by collecting multispectral remote sensing images, obtaining statistical histograms of each band, analyzing the foreground information rate and distortion coefficient, performing pixel-level sorting and superpixel block division, combining with deep learning The model performs image fusion and vegetation coverage recognition.

Benefits of technology

The defog removal effect and data clarity of multi-spectral remote sensing images are improved, the errors in ecological environment detection are reduced, and the accuracy of detection is improved.

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Abstract

The invention relates to the technical field of remote sensing image processing, in particular to an ecological environment detection method and system based on a multispectral remote sensing fusion technology, and the method comprises the steps: collecting a multispectral remote sensing image of a target region; determining the foreground information rate of each pixel level in the remote sensing image of each wave band; calculating a distortion coefficient of the remote sensing image of each wave band; obtaining a relative loss coefficient of each pixel level in the remote sensing image of each wave band; dividing the remote sensing image of each wave band into superpixel blocks, and determining the wave band independence of each superpixel block in the remote sensing image of each wave band; screening candidate pixel points in each superpixel block, determining an atmospheric light value, and defogging the remote sensing image of each wave band in combination with a dark channel prior method; and performing ecological environment detection based on the remote sensing images of all wavebands after defogging. Therefore, the accuracy of ecological environment detection is improved.
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Citation Information

Patent Citations

  • Wave band self-adaptive defogging optimization processing method for single remote sensing image

    CN111539891A

  • Geological surveying and mapping remote sensing image enhancement method

    CN118967508A

  • Method for recognizing seawater polluted area based on high-resolution remote sensing image and device

    US20220383633A1

Cited By

  • Ecological environment detection method and system based on multispectral remote sensing fusion

    CN120932049A

  • An ecological environment detection method and system based on multispectral remote sensing fusion

    CN120932049B