Remote-sensing image one-class classification method based on one-class normalization

A technology of remote sensing images and classification methods, which is applied in the fields of instruments, character and pattern recognition, computer parts, etc. It can solve the problems of complex parameter settings and effect effects, and achieve the effect of simple classification process.

Inactive Publication Date: 2014-11-05
ZHENGZHOU UNIVERSITY OF AERONAUTICS
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There is also a method based on support vector data description (SVDD), which uses a sphere as small as possible containing the target data for discrimination, and can get better classification results by training with small samples. The main disadvantage of the ...

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  • Remote-sensing image one-class classification method based on one-class normalization
  • Remote-sensing image one-class classification method based on one-class normalization
  • Remote-sensing image one-class classification method based on one-class normalization

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[0022] The single-class classification process of remote sensing image based on one-class normalization is as follows: figure 1 Shown. In the application of remote sensing classification, training samples must be selected first, and single-class classification only needs to select training samples of interest categories for learning. The selection of samples has a great impact on the subsequent classification results. Generally, there are two methods. One is to conduct field investigations in the area covered by remote sensing images and extract actual ground object categories as training samples; the other is to manually interpret remote sensing images. To select training samples of interest categories, manual interpretation methods often require higher resolution remote sensing images as an aid. The selection of single-class training samples requires a complete description of the categories. The number of samples should be larger and the classification is more sufficient. Mul...

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Abstract

The invention provides a remote-sensing image one-class classification method based on one-class normalization. One-class samples are selected from a remote-sensing image, one-class normalization transformation is carried out, a suprasphere is determined with an original point as a center for one-class classification after normalization transformation is finished, and the sample away from the original point by the distance smaller than the radius of the suprasphere is the positive class. Compared with other one-class classification technologies, the remote-sensing image one-class classification method based on one-class normalization has the advantages that no parameter is needed, namely one-class classification is carried out directly without setting any parameters, the effect is good, and performance is stable.

Description

Technical field [0001] The invention relates to the field of remote sensing information extraction, in particular to the analysis and application of remote sensing image information. Background technique [0002] Single-class classification requires the extraction of a specific category in remote sensing images, regardless of other ground feature types, such as wetland extraction, vegetation extraction, water extraction, etc., which has gradually become a research hotspot in the field of remote sensing information extraction. At present, the single-class information extraction technology mainly focuses on two aspects, one is the feature selection and analysis for specific feature category extraction, and the other is the design of the single-class classifier. Among them, feature selection and analysis are very specific to the extracted categories, such as water information extraction. Some methods combine image aggregation, adjacent spatial features and spectral analysis of high-...

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Application Information

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IPC IPC(8): G06K9/62
Inventor 薄树奎郑小东程秋云荆永菊董赞强
Owner ZHENGZHOU UNIVERSITY OF AERONAUTICS
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