Remote sensing image power transmission line corridor forest region extraction method

Abstract

The present invention discloses a remote sensing image power transmission line corridor forest region extraction method. The method comprises the steps of (1) training an SVM classifier: extracting a scene unit training sample from a remote sensing training sample and using an artificial visual way to define the scene category of each scene unit training sample and carrying marking by using a mark number; extracting the global characteristic of each scene unit training sample; and combining the scene category mark number of the scene unit training sample and the global characteristic to train the SVM classifier, (2) using the trained SVM classifier to classify the remote sensing image test data: extracting a scene unit from the remote sensing image test data; extracting the global characteristic of each scene unit; and using the trained SVM classifier to extract a forest region based on the global characteristic combination of the scene units. According to the method, the completeness of extracted object description can be enhanced, and thus the accuracy of the forest area extraction is improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent analysis of remote sensing images, and in particular relates to a method for extracting forest areas of transmission line corridors of remote sensing images. Background technique [0002] Transmission lines are the lifeblood of power grid operation and the "lifeline" related to the national economy and people's livelihood. With the rapid development of my country's national economy, the construction of my country's power grid has entered a new era. Ultra-high voltage transmission lines have become the main grid frame of my country's power grid, and UHV transmission lines have also been built and put into operation one after another. It is worth noting that when the transmission line passes through forest areas, because there are many trees and weeds in the corridor of the transmission line, it is very easy to cause wildfires during long droughts and no rain, spring plowing and land reclamatio...

AI Technical Summary

Problems solved by technology

With simple machine learning, such as neural networks with 2 or 3 hidden layers, it is impossible to achieve human-like discriminative decision-making

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