Ecological protection red line-oriented human activity change identification and supervision method

Abstract

An ecological protection red line-oriented human activity change identification and supervision method comprises the steps of S1, data preparation: selecting image data and vector data of an ecological protection red line area; S2, human activity rapid identification: making a big data sample based on the vector data and the image data, selecting data in the big data sample, and obtaining a suspected human activity clue pattern spot through a change detection decision model; S3, human activity interaction interpretation: performing human interaction editing on the suspected human activity clue result to obtain suspected human activity problem pattern spots; S4, on-site verification and verification: marking ground features which cannot be determined by manual interactive editing as problem pattern spots for on-site verification, and performing verification according to a verification result to obtain a human activity monitoring result; According to the invention, a full-sample human activity rapid identification capability based on multi-source and multi-temporal remote sensing data is provided, and an ecological protection red line-oriented human activity supervision product production technology system combining automatic detection and manual interactive editing is formed.

Description

technical field [0001] The invention belongs to the technical field of ecological protection, and more specifically relates to a method for identifying and supervising changes in human activities facing the red line of ecological protection. Background technique [0002] The ecological protection red line refers to the area that has special important ecological functions within the scope of the ecological space and must be strictly protected. It is the bottom line and lifeline for ensuring and maintaining the national ecological security. level of "lifeline". Once the ecological protection red line is drawn, it should meet the control requirements such as no reduction in functions, no reduction in area, and no change in nature. Gradually increasing, the impact on the ecological protection red line area is also increasing. Therefore, the regulation of human activities towards the ecological protection red line has gradually become the target of widespread attention. [0003...

AI Technical Summary

Problems solved by technology

[0003] Human activities in the ecological protection red line area are usually small in size and narrow in scope. It is very difficult to achieve the goal of low-leakage extraction and low-error extraction by using visual interpretation for remote sensing images.

However, the automatic detection process based on remote sensing images is very complicated, involving image preprocessing, threshold segmentation, feature extraction, image segmentation, and classification. At present, there is no change detection process and method that is generally considered to have absolute advantages, and most algorithms The problems and theories to be solved are still relatively scattered, and at the same time, it is necessary to ensure that the image itself must have good clarity and registration accuracy

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