Ecological protection red line-oriented human activity identification fusion method and system

Abstract

The invention discloses an ecological protection red line-oriented human activity identification fusion method and system, and the method comprises the steps: obtaining an early-stage remote sensing image and a later-stage remote sensing image of a target ecological protection red line region, and carrying out the data preprocessing; inputting the pre-processed early-stage remote sensing image and the pre-processed later-stage remote sensing image into a pre-trained human activity identification model; recognizing a human activity pattern spot of the target ecological protection red line area as a first detection result; carrying out segmentation, calculation and analysis on the latest image data corresponding to the target ecological protection red line region based on geographic national condition data to obtain an identification change pattern spot as a second detection result; and fusing the first detection result and the second detection result to obtain a change detection pattern spot of the target ecological protection red line area. Compared with a traditional single identification method and a single data source, the method has the advantages that the extraction precision is improved, the later manual operation amount is effectively reduced, and the production efficiency is greatly improved.

Description

technical field [0001] The invention belongs to the field of geographic information and the field of remote sensing application technology, in particular to a human activity recognition fusion method and system for ecological protection red lines. Background technique [0002] There are many types of ecological protection red lines, large scope, complex and diverse human activities, and different red line areas have different focus points. It is difficult to achieve a certain recognition accuracy by relying solely on a single data source and a single identification method. The diversity of human activities makes the information expression of human activities extremely complex. At the same time, the difference between human activity information and natural information is that human activity information is severely fragmented and has many scenarios. It is difficult to extract category information based on traditional methods for unified analysis and processing. [0003] The pr...

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Problems solved by technology

[0005] In view of the above situation, the present invention proposes a human activity recognition fusion method and system oriented to the red line of ecological protection. This method can solve the problem of low regional adaptability and accuracy of a single technical method by integrating artificial intelligence with a full sample change detection method. Bad question

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