Method and device for rapidly positioning water color abnormity based remote sensing image

Abstract

The invention discloses a method and a device for rapidly positioning water color abnormity based a remote sensing image, and belongs to the field of water pollution monitoring. The method comprises the following steps: obtaining the remote sensing image, and extracting a water area part; calculating the normalized water index of the water area, and performing mean calculation by using a mean operator; comparing the mean-calculated normalized water index distribution image with a water color abnormality judgment threshold to obtain a water color abnormity window distribution image; performingmask operation on the normalized water index distribution image by using the water color abnormity window distribution image to obtain a preliminarily-determined water color abnormity area distribution image; and comparing each pixel of the preliminarily-determined water color abnormity area distribution image with the water color abnormity judgment threshold to obtain a water color abnormity area. Scale conversion is performed by using the mean operator, so the comparison frequency is reduced, the processing time is greatly shortened, the speed and the accuracy of water color abnormity detection are improved, and a technical support is provided for the environmental emergency management department.

Description

technical field [0001] The invention relates to the field of water pollution monitoring, in particular to a method and device for quickly locating abnormal water color based on remote sensing images. Background technique [0002] With the development of industrialization and the intensification of urbanization, the irrational use of water resources has led to frequent emergencies of various water environments, threatening water bodies such as rivers, lakes and seas, and seriously affecting the drinking, irrigation, and landscape of water bodies. and other functions. The intensification of urbanization, the harm of agricultural non-point source pollution, the unreasonable industrial layout and the rapid increase of nautical ships, etc., have led to eutrophication of water bodies and various water environment pollution and environmental damage, seriously destroying the self-purification ability of water bodies, and causing coastal pollution. The water quality of residents and...

AI Technical Summary

Problems solved by technology

Due to the various types and types of water color anomalies, unknown types of water color anomalies cannot be extracted by using the water color anomaly index, or the extraction accuracy is low. Secondly, because the traditional remote sensing detection of water color anomalies is based on all pixels of the image and are detected one by one according to the judgment threshold, it is necessary to It takes a lot of time to complete the detection of the whole scene image, which greatly reduces the detection speed of water color anomalies

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