Classification method and device based on hyperspectral remote sensing images
A hyperspectral remote sensing and image technology, applied in the field of remote sensing, can solve problems such as over-classification and achieve the effect of avoiding over-classification
Active Publication Date: 2013-09-11
CENT FOR EARTH OBSERVATION & DIGITAL EARTH CHINESE ACADEMY OF SCI
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[0005] In view of this, an embodiment of the present invention provides a hyperspectral remote sensing image classification method and device, with the purpose of solving the problem of over-classification caused by the existing hyperspectral remote sensing image classification method
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[0064] The embodiment of the present invention discloses a method and device for classifying hyperspectral remote sensing images. The core invention is to use the artificial bee colony algorithm to classify hyperspectral remote sensing images using the spatial neighborhood information of pixels in hyperspectral remote sensing images as constraints. The cluster center set of the image is optimized to obtain the optimal cluster center, and the hyperspectral remote sensing image is classified using the optimal cluster center.
[0065] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative e...
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An embodiment of the invention provides a classification method and device based on hyperspectral remote sensing images. Spatial neighhood information of pixels in the hyperspectral remote sensing images serves as a constraint condition, and an optimal clustering center of the hyperspectral remote sensing images is determined through an artificial bee colony algorithm according to a clustering center assembly obtained by calculation and is utilized to classify targets in the hyperspectral remote sensing images. Accordingly, in the process of classifying the targets in the images, not only do spectrums of the pixels serve as a basis, but also the spatial neighhood information of the pixels serves as a basis, and according to the principle that the closer spatially in geography, the higher the possibility of belonging to an identical class, the problem of classification excess can be solved since the possibility of classifying the pixels large in spectrum difference and spatially close as one class is greatly increased according to the spatial neighhood information of the pixels.
Description
technical field [0001] The invention relates to the field of remote sensing, in particular to a classification method and device based on hyperspectral remote sensing images. Background technique [0002] Hyperspectral remote sensing image is a kind of remote sensing image acquired by hyperspectral sensor, which can classify targets in hyperspectral remote sensing image and understand the situation of ground coverage. The existing classification methods for hyperspectral remote sensing images usually identify the categories of different targets based on the spectral information of different targets in hyperspectral images. [0003] Remote sensing images include a relatively wide range of coverage. What users want to know through hyperspectral remote sensing images is usually the main category of ground coverage, not the details. The existing hyperspectral image classification methods distinguish different targets based on different targets. Spectral features, therefore, are...
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IPC IPC(8): G06K9/62G06N3/00
Inventor 张兵孙旭高连如吴远峰李利伟庄丽娜
Owner CENT FOR EARTH OBSERVATION & DIGITAL EARTH CHINESE ACADEMY OF SCI