Forest land remote sensing image extraction method and system based on region-of-interest network

Abstract

The invention relates to a forest land remote sensing image extraction method and system based on a region-of-interest network. The method comprises steps of acquiring forest land survey data and multispectral wide-coverage image data; performing data preprocessing on the forest land survey data and the multispectral wide-coverage image data to obtain preprocessed forest land survey data and preprocessed multispectral wide-coverage image data; according to the preprocessed forest land survey data and the preprocessed multispectral wide-coverage image data, obtaining a sample set based on a geographic space corresponding relationship; constructing a region-of-interest network; training the region-of-interest network according to the sample set to obtain a trained region-of-interest network;acquiring a remote sensing image to be extracted; taking a remote sensing image to be extracted as input, and inputting the remote sensing image to be extracted into the trained RON to obtain a forest land extraction image; and optimizing the image to obtain an optimized forest land extraction image. According to the invention, high extraction precision of the forest land in different time phaseimages can be ensured.

Description

technical field [0001] The invention relates to the field of remote sensing image extraction of forested land, in particular to a method and system for extracting remote sensing images of forested land based on an area of ​​interest network. Background technique [0002] Forest land / non-forest land information is of great significance to forest resources survey, survey planning and design, and other forestry remote sensing applications. In response to the needs of my country's forest resources survey business application for remote sensing images with multi-spectral bands, high spatial resolution, high-frequency imaging and large-area coverage, the project of rapid identification of forest land / non-forest land in remote sensing images was carried out to improve the efficiency of forest resource surveys and facilitate The planning and design of forest resources can make remote sensing images serve my country's forestry development and ecological environment construction. [0...

AI Technical Summary

Problems solved by technology

It is conceivable that with the help of classified and marked satellite images released by the platform, new progress will be made in image recognition and analysis algorithms based on satellite images. However, a set of standard data sets has not yet been established for forest land / non-forest land, and due to the different shapes of forest land , uneven distribution, and currently there is no method that is particularly suitable for forest land extraction

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