A detection method for human activity changes in nature reserves based on multi-scale feature fusion

Abstract

The present invention proposes a method for detecting changes in human activities in nature reserves based on multi-scale feature fusion, which can serve the monitoring business of human activities in nature reserves, improve the work efficiency of monitoring business changes in human activities in nature reserves, and reduce work costs. The detection method of the present invention mainly includes seven steps of data selection, data preprocessing, principal component analysis, image segmentation, spectral change vector construction, spectral change degree measurement, and post-processing, and then extracts the final changed object. Due to the improvement of work efficiency, the detection method of the present invention can detect human activities existing in the natural protection area in a more timely manner, realize early detection and early treatment of human activities, so as to better protect the natural protection area and ensure the safety of the national ecological environment .

Description

technical field [0001] The invention belongs to the technical field of ground monitoring and ecological environment protection, and relates to a detection method for human activity changes in nature reserves based on multi-scale feature fusion. Background technique [0002] Remote sensing change detection is based on observations of the same object or phenomenon at different times to determine its different processing procedures. Remote sensing image change detection is the use of multi-source remote sensing images and related geospatial data covering the same surface area in different periods, combined with the corresponding features and remote sensing imaging mechanism, to determine and analyze the changes of the region and features, including the location and range of the features. Changes and changes in feature information and status. Its purpose is to find out the change information of interest and filter out irrelevant change information as interference factors. Remo...

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Problems solved by technology

[0009] (4) Most of them specialize in or use a certain method, and lack the methods of comprehensive integration of multiple methods and strategies, such as focusing on spectral algebra, spectral changes, or classification. Take advantage of multiple approaches

[0010] 3. In the field of remote sensing monitoring of changes in human activities in nature reserves, there are few studies on related automatic detection techniques and methods, and industry applications currently mainly rely on manual interpretation

[0011] The present invention is closely related to the urgent needs of the current field of human activity supervision in nature reserves, and aims at the lack of automatic monitoring technology for changes in human activities in natural reserves and the failure of existing remote sensing automatic change detection technologies in other fields to make full use of remote sensing. Based on the multi-scale features of images and the failure to integrate the advantages of various technical methods, etc., based on the characteristics of nature reserves and human activities (the change in human activities is relatively small, once the change is easy to form a relatively strong contrast with the surrounding background, etc.), comprehensive utilization Based on multi-scale features such as pixels, neighborhoods, objects (patch), and scenes on time-series remote sensing images, and combined with transformation methods, algebraic methods, and object-oriented multiple change monitoring methods, a multi-scale feature-based Integrated method for monitoring changes in human activities in nature reserves

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