Decision tree model based multispectral remote sensing image river information extraction method

Abstract

The invention discloses a decision tree model based multispectral remote sensing image river information extraction method. The decision tree model based multispectral remote sensing image river information extraction method comprises step 1, preprocessing an obtained Landsat TM (Thematic Mapper) remote sensing image and segmenting out a river area to be extracted; step 2, performing ground object classification on the segmented river area, selecting 15 to 20 feature points from every type and extracting out corresponding picture element values from TM1 to TM5; step 3, analyzing spectrum characteristics of the different types of ground objects according to the extracted picture element values, establishing a decision rule and establishing a decision tree model of river information extraction; step 4, processing picture elements of a segmented river area image according to the decision tree model so as to generate a binaryzation image of water body information and non-water-body information; step 5, performing vectorization processing and post-processing on the generated binaryzation image to obtain river information. According to the decision tree model based multispectral remote sensing image river information extraction method, rapid retraction of the river information can be achieved and the decision tree model based multispectral remote sensing image river information extraction method can be applied to the thematic map production directly.

Description

technical field [0001] The invention relates to a method for extracting multispectral remote sensing images, in particular to a method for extracting river information from multispectral remote sensing images based on a decision tree model. Background technique [0002] The river system is an important geomorphic feature and one of the most active areas in the terrestrial ecosystem. Generally, the population on both sides of the river is concentrated, and the industrial and agricultural production is developed. The changes of the river are greatly affected by human activities along the banks. At the same time, river floods are a major hazard to the production and life of the river bank and people along the river, and the monitoring of river changes is of great significance to the fields of water conservancy, environmental protection, and flood control. [0003] Remote sensing is a high-tech that detects the characteristics of ground objects by receiving the response of grou...

AI Technical Summary

Problems solved by technology

The patented remote sensing image rapid river extraction method [CN101576957A] announced a rapid river extraction method based on seed point scanning, which is a useful exploration for the automatic extraction of river banklines. It is necessary to add new seed points, and the process is more complicated. At the same time, this method mainly uses the single-band information of remote sensing images, and does not make full use of the multi-spectral information of ground objects. For two types of ground objects with similar spectral characteristics in a certain band, it may be There will be misjudgment phenomena, for example, wetlands around the river, or sheltered mountains may be classified as water bodies into the river

Images