Automatic monitoring method for human activities in natural conservation area based on night light and high-resolution remote sensing images

Abstract

The invention discloses an automatic monitoring method for human activities in a natural conservation area based on night light and high-resolution remote sensing images. The method comprises the following steps: acquiring night light images of a same light source at different times; performing joint segmentation on all the night light images, wherein light areas generated by the same light sourcein different time belong to the same image object; extracting attributes of all the image objects; extracting a night light patch image from the image object; clipping the high-resolution remote sensing image according to the obtained night light area, wherein the clipped remote sensing image and the light patch image have the same range; and detecting and analyzing the high-resolution remote sensing images corresponding to the lamplight patches, and automatically extracting human activity information. The invention further discloses a natural reserve human activity automatic monitoring system corresponding to the method. The natural reserve human activity automatic monitoring system comprises an image acquisition module, an image segmentation module, an attribute extraction module, a lamplight patch extraction module, a clipping module and an analysis module.

Description

technical field [0001] The present invention relates to the technical field of remote sensing monitoring, more specifically, to a method and system for automatic monitoring of human activities in nature reserves based on night lights and high-resolution remote sensing images. Background technique [0002] In recent decades, the contradiction between nature protection and economic development has become increasingly prominent, and human activities such as various development and construction projects involving nature reserves have been increasing year by year, destroying the harmony between man and nature. With the development of earth observation technology, low-cost, large-scale and periodic monitoring of nature reserves becomes possible. At present, for the monitoring of human activities in nature reserves, the method of artificial visual interpretation of high spatial resolution optical remote sensing images is mainly used. Although good monitoring results have been achie...

AI Technical Summary

Problems solved by technology

First, because high-resolution remote sensing images usually cover a small area, have a large amount of data, and the degree of automatic interpretation is not high, it takes a lot of manpower and time to carry out large-scale monitoring

For example, the Ministry of Environmental Protection carried out the national monitoring of national nature reserves in 2016. A total of 4,013 2-meter and a large number of sub-meter-level high-resolution satellite images were processed and interpreted, and the workload was huge.

Second, original land cover may not recover immediately after certain human activities cease

Using high-resolution remote sensing images, it is difficult to distinguish ongoing human activities (such as mining areas that are causing damage to the environment) from human activities that have ceased (such as closed mines, and the damage to the environment has stopped), thus It is not conducive to assessing the impact of human activities on the environment and the effectiveness of governance measures

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