ID3 algorithm-based black and odorous water body remote sensing image identification method

Abstract

The invention discloses an ID3 algorithm-based black and odorous water body remote sensing image identification method. The method comprises the steps of 1, high-resolution remote sensing image data collection and processing, 2, water body extraction and chemical index measurement, 3, spectral feature selection, 4, construction of the ID3 algorithm and a classification decision tree, and 5, precision verification of a verification set. The objective and standard threshold value calculation method is determined based on ID3, the requirement for black and odorous water body information extraction in the image is met, good universality is achieved in practical application, meanwhile, multi-feature classification is added in the analysis process, classification is further expanded through multiple features, the result is made to better conform to objective features of a research area. The black and odorous water body extraction precision can be effectively improved, and the robustness and universality of black and odorous water body extraction of the high-resolution remote sensing image are improved.

Description

technical field [0001] The invention relates to the technical field of high-resolution remote sensing image information extraction, in particular to an ID3 algorithm-based remote sensing image recognition method for black and odorous water bodies. Background technique [0002] Black and odorous water mainly refers to the general term for water bodies that gradually deteriorate in water quality and present unpleasant colors and / or emit unpleasant odors under the condition of increasing human interference (organic pollution), most similar to The research is the remote sensing analysis and monitoring of "black water masses" or "lake flooding", which have relatively similar spectral characteristics to black and odorous water bodies. Due to organic pollution of water bodies, the content of organic substances such as CDOM increases, resulting in the impact of sunlight High absorption, so the above-mentioned water body is usually black in color, and there are obvious differences in...

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Problems solved by technology

[0003] At present, the remote sensing recognition of black and odorous water bodies is mainly based on the spectral difference between the two types of water bodies. By setting the empirical threshold and thresholding the image to achieve information extraction, the selection of the empirical threshold depends on the expert knowledge of the operator and lacks a unified standard. It is easy to cause disputes and errors, and this method essentially equates the prior probability of black and odorous water body determination with the posterior probability directly, ignoring the difference of the basic probability between the experimental sample and the research area, which leads to the selected threshold value. The effect of the experimental sample is very good, but the effect is poor when applied in the research area. Therefore, the present invention proposes a black and odorous water remote sensing image recognition method based on the ID3 algorithm to solve the problems existing in the prior art

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