Supervised classification method combining multi-spectral mixed pixel linear decomposition

A mixed pixel decomposition and mixed pixel technology, which is applied in the field of remote sensing image processing, can solve the problem that the classification effect of small objects and linear objects is not outstanding, and achieve the effect of reducing selection and improving work efficiency.

Pending Publication Date: 2021-04-09
JIANGSU OCEAN UNIV
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Problems solved by technology

[0002] Supervised classification methods are usually used to classify multispectral remote sensing images, such as support vector machine method, maximum likelihood method, minimum distance method, etc. not outstanding

Method used

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  • Supervised classification method combining multi-spectral mixed pixel linear decomposition
  • Supervised classification method combining multi-spectral mixed pixel linear decomposition
  • Supervised classification method combining multi-spectral mixed pixel linear decomposition

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[0038] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are part of the present invention Examples, not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] A supervised classification method combined with linear decomposition of multispectral mixed pixels, the method includes the following steps:

[0040] (1) Select the research area and obtain image data;

[0041] The image data adopts Landsat-8 satellite, which includes 8 multispectral bands with a spatial resolution of 30 meters, a panchromatic band wit...

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Abstract

Provided is a supervised classification method combining multi-spectral mixed pixel linear decomposition. The method comprises the following steps: selecting a research area, and obtaining image data; performing image preprocessing on the image data; carrying out mixed pixel linear decomposition on the preprocessed image; collecting training samples to supervise and classify the images after mixed pixel decomposition; evaluating classification accuracy. According to the method, under the condition that the precision is guaranteed, selection of training samples is reduced, fine and linear ground objects are effectively separated, the working efficiency is improved, and a reference effect is achieved on recognition and analysis of the fine ground objects to a certain extent.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a supervised classification method combined with linear decomposition of multispectral mixed pixels. Background technique [0002] Supervised classification methods are usually used to classify multispectral remote sensing images, such as support vector machine method, maximum likelihood method, minimum distance method, etc. does not stand out. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide a linear decomposition of combined multi-spectral mixed pixels that can classify multi-spectral remote sensing images and has an outstanding classification effect on small and linear features. supervised classification method. [0004] The technical problem to be solved by the present invention is achieved through the following technical solutions. The invention is a supervised classification method comb...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06T5/50
CPCG06T5/50G06T2207/10036G06T2207/10041G06T2207/20081G06T2207/20221G06F18/214G06F18/2415
Inventor 吕海滨邢雪婷夏楚琦谭思妹
Owner JIANGSU OCEAN UNIV
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