Method and device for rapid location of water color anomalies based on remote sensing images

Abstract

The invention discloses a method and device for rapidly locating water color anomalies based on remote sensing images, belonging to the field of water body pollution monitoring. The method first obtains remote sensing images and extracts water body parts; then calculates the normalized water body index of the water body parts and uses the mean value Calculate the mean value; compare the normalized water body index distribution image after the mean value calculation with the water color anomaly judgment threshold to obtain the water color anomaly window distribution image; use the water color anomaly window distribution image to mask the normalized water body index distribution image Calculate and obtain the preliminarily determined distribution image of water color anomaly area; compare each pixel of the initially determined water color anomaly area distribution image with the water color anomaly judgment threshold to obtain the water color anomaly area. The invention uses a mean value operator for scale conversion, reduces the number of comparisons, can greatly reduce processing time, improves the detection speed and accuracy of water color anomalies, and provides technical support for environmental emergency management departments.

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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