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A method and apparatus for image fusion classification

A technology of classifier and segmentation method, applied in the computer field, can solve the problem that the number of superpixels is difficult to obtain accurate estimation

Active Publication Date: 2019-03-15
SHENZHEN UNIV
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Problems solved by technology

However, in the existing methods using superpixels, there is a huge defect, that is, the number of extracted superpixels is difficult to accurately estimate

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  • A method and apparatus for image fusion classification
  • A method and apparatus for image fusion classification
  • A method and apparatus for image fusion classification

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Embodiment Construction

[0048] An embodiment of the present invention provides a method and device for image fusion classification, the method includes: using a support vector machine classifier to obtain a three-dimensional weight matrix of a hyperspectral image; performing superpixel segmentation on the hyperspectral image to obtain K A superpixel map, wherein K is a positive integer; the three-dimensional weight matrix is ​​regularized by using the segmentation method of the superpixel map to obtain a regular matrix; and the category to which the sample belongs is determined according to the regular matrix. By using the method provided by the present invention, the problem of estimating the number of superpixels can be avoided, and further, the spatial structure information of ground objects contained in different superpixel maps is fused in a cascading manner, which significantly improves the discrimination of features.

[0049] In order to enable those skilled in the art to better understand the so...

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Abstract

The invention provides a method and a device for image fusion classification. The method comprises the following steps: obtaining a three-dimensional weight matrix of a hyperspectral image by a support vector machine classifier; Performing superpixel segmentation on the hyperspectral image to obtain K superpixel images, wherein K is a positive integer; Regularizing the three-dimensional weight matrix using a partitioning method of the superpixel map to obtain a regular matrix; The category to which the sample belongs is determined according to the regular matrix. By using the method provided by the invention, the problem of estimating the number of the superpixels can be avoided, furthermore, the spatial structure information of the ground objects contained in different superpixel maps isfused in a cascade manner, and the distinguishing power of the features is remarkably improved.

Description

technical field [0001] The invention relates to the field of computers, in particular to a method and device for image fusion classification. Background technique [0002] With the advancement of image segmentation technology in the field of computer vision, superpixel extraction can provide a homogeneous spatial representation of observed objects, thus providing an important means of describing ground object information for hyperspectral image analysis. [0003] Specifically, a superpixel refers to a homogeneous region that contains multiple pixels. Since the distribution of ground objects often has certain regularity, hyperspectral images based on superpixel segmentation can better mine the gaps between neighboring pixels. mutual relationship. At present, the methods of using superpixels to classify hyperspectral images are mainly divided into two categories: pre-processing and post-processing. In the pre-processing, the superpixel information is mainly used to obtain th...

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/62G06V20/13
CPCG06V20/194G06V20/13G06V10/267G06F18/2411G06T7/11G06F18/2415G06F18/21G06F18/254
Inventor 贾森邓彬朱家松邓琳李清泉
Owner SHENZHEN UNIV
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