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Intelligent classification method for high-spectrum remote sensing image

A hyperspectral remote sensing and hyperspectral image technology, applied in the intelligent classification of hyperspectral remote sensing images, dimensionality reduction and support vector machine (SVM) classification, can solve the problem of large data volume, high data dimension, long processing time, etc. question

Active Publication Date: 2013-10-23
HOHAI UNIV
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Problems solved by technology

Hyperspectral image classification faces many problems such as high data dimensionality, large amount of data, long processing time, and Hughes phenomenon caused by insufficient samples.

Method used

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  • Intelligent classification method for high-spectrum remote sensing image
  • Intelligent classification method for high-spectrum remote sensing image
  • Intelligent classification method for high-spectrum remote sensing image

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Embodiment Construction

[0051] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0052] Such as figure 1 As shown, the intelligent classification method of hyperspectral remote sensing images specifically includes the following steps:

[0053] Step 1. Partition the data source using adaptive subspace decomposition based on correlation filtering. by the formula

[0054] R ij = E [ ( x i - ...

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Abstract

The invention discloses an intelligent classification method for a high-spectrum remote sensing image. The intelligent classification method for the high-spectrum remote sensing image comprises the following steps of: carrying out subspace decomposition on the high-spectrum image; then, selecting a proper waveband with a combined method of a simulated annealing algorithm and a genetic algorithm in each subspace; combining all wavebands selected by the subspaces; and finally, carrying out SVM (support vector machine) classification on all pieces of waveband information subjected to comprehensive dimension reduction.

Description

technical field [0001] The invention relates to an intelligent classification method for hyperspectral remote sensing images, specifically a classification method based on Hamming genetic algorithm for dimension reduction and support vector machine (SVM) targeting hyperspectral remote sensing image classification, belonging to hyperspectral remote sensing Image processing technology field. Background technique [0002] Remote Sensing (Remote Sensing) is a technology that uses the principle of electromagnetic waves to obtain distant signals and image them, and can feel and perceive distant things remotely. It is a new science. With the improvement of computer technology and optical technology, remote sensing technology has also been developed rapidly. In recent years, a variety of remote sensing satellites have been successfully launched, which has promoted the remote sensing data acquisition technology towards three high (high spatial resolution, high spectral resolution an...

Claims

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Application Information

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IPC IPC(8): G06K9/66
Inventor 高红民徐立中王鑫石爱业陈炜王超
Owner HOHAI UNIV
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