Water body water color anomaly identification method and device based on time sequence remote sensing images

Abstract

The invention discloses a water body water color abnormity identification method and device based on time sequence remote sensing images, and belongs to the field of water environment pollution monitoring. The method comprises the following steps: preprocessing a multi-time-sequence remote sensing image to obtain water body remote sensing reflectivity images with different time sequences; performing spectral statistical analysis on the remote sensing reflectivity image to obtain water body pixel statistical characteristic values of different wave band long-time sequences, and establishing different wave band reference characteristic values and pixel characteristic values; making a spectral characteristic analysis on the to-be-detected remote sensing image, and creating waveband characteristic values of different wavebands; preliminarily judging whether the to-be-detected image has abnormal water color or not by comparing the wave band characteristic value of the to-be-detected image with the corresponding wave band reference characteristic value; analyzing the wave band with the abnormal water color of the to-be-detected image pixel by pixel, comparing the wave band with the pixelcharacteristic value of the corresponding wave band, obtaining the spatial distribution pixel of the abnormal water color, and obtaining the spatial distribution of the abnormal water color of the water body. According to the invention, the water color abnormity identification precision and speed of the water body are improved.

Description

technical field [0001] The invention relates to the field of water environment pollution monitoring, in particular to a method and device for identifying abnormal water color of a water body based on time-series remote sensing images. Background technique [0002] With the development of industrialization and the intensification of urbanization, the unreasonable industrial layout and the sharp increase in the transportation of hazardous chemicals have increased the safety and pollution risks of the water environment. Excessive discharge, leakage of hazardous chemicals, and excessive use of pesticides and fertilizers have caused water pollution Eutrophication and various water environment pollution incidents occur frequently, and what is more, industrial sewage is directly discharged into rivers, offshore, ponds, etc., seriously exceeding the self-purification capacity of water bodies, leading to water shortages for residents, and even serious environmental pollution incidents...

AI Technical Summary

Problems solved by technology

Although the identification and extraction of water color anomalies based on remote sensing has achieved certain results, there is no effective and accurate and reliable method for determining the threshold value in the identification and extraction of water color anomalies by remote sensing technology. The judgment threshold determined by prior knowledge does not necessarily apply well, and deviations may occur, resulting in inaccurate or even wrong water color anomaly recognition results.

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