Natural protected area human activity change detection method based on multi-scale feature fusion
A technology of multi-scale features and human activities, applied in image data processing, instrument, character and pattern recognition, etc., can solve the problems of less research on automatic detection technology, not focusing on spectral algebra, not focusing on classification, etc., to ensure national security. The effect of ecological environment safety, reducing work cost and improving work efficiency
A technology of multi-scale features and human activities, applied in image data processing, instrument, character and pattern recognition, etc., can solve the problems of less research on automatic detection technology, not focusing on spectral algebra, not focusing on classification, etc., to ensure national security. The effect of ecological environment safety, reducing work cost and improving work efficiency
CN112633155AActive Publication Date: 2021-04-09MINISTRY OF ECOLOGY & ENVIRONMENT CENT FOR SATELLITE APPL ON ECOLOGY ENVIRONMENT
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[0043] Such as figure 1 As shown, it is a schematic flow chart of the present invention, which mainly includes the following seven steps: data selection, data preprocessing, principal component analysis, image segmentation, spectral change vector construction, spectral change degree measurement, post-processing, and each step is as follows Explain in detail.
[0044] S1. Data selection
[0045] According to the monitoring time period of interest, two phases of multi-spectral remote sensing images are selected. When selecting data, it is necessary to combine the natural climate characteristics of the monitoring area and the scale size and temporal and spatial distribution characteristics of human activities of concern to select appropriate remote sensing images. Try to choose good-quality remote sensing images to reduce the interference of clouds, snow, fog, shadows, etc., and try to select remote sensing images from the same sensor to avoid the influence of chromatic aberrati...
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The invention provides a natural reserve human activity change detection method based on multi-scale feature fusion. The method can serve a natural reserve human activity supervision service, improves the work efficiency of the natural reserve human activity change monitoring service, and reduces the work cost. The detection method mainly comprises 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 a final change object is extracted. According to the detection method disclosed by the invention, due to the improvement of the working efficiency, human activities existing in the natural protected area can be discovered in time, and early discovery and early treatment of the human activities are realized, so that the natural protected area is better protected, and the national ecological environment safety is guaranteed.
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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Patent Timeline
09 Apr 2021
Publication
CN112633155A
- IPC
- G06K9/00; G06K9/62; G06T7/11; G06T7/136
- CPC
- G06T7/11; G06T7/136; G06V20/194; G06V20/13; G06F18/23; G06F18/253
- Inventors
- 肖如林; 张文国