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Urban surface cover fine classification method and device based on remote sensing image

A technology for ground cover and fine classification, applied in the field of fine classification of urban ground cover, can solve the problem of inability to accurately identify the information of urban ground cover, and achieve the effect of improving accuracy

Active Publication Date: 2020-05-19
GUANGZHOU INST OF GEOGRAPHY GUANGDONG ACAD OF SCI +1
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  • Abstract
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Problems solved by technology

However, the current land use / cover product data cannot accurately identify specific urban land cover information

Method used

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  • Urban surface cover fine classification method and device based on remote sensing image
  • Urban surface cover fine classification method and device based on remote sensing image
  • Urban surface cover fine classification method and device based on remote sensing image

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Embodiment Construction

[0054] In order to make the purpose, technical solution and advantages of the present application clearer, the embodiments of the present application will be further described in detail below in conjunction with the accompanying drawings.

[0055] It should be clear that the described embodiments are only some of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the embodiments of the present application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the embodiments of the present application.

[0056] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the embodiments of the present application. The singular forms "a", "said" and "the" used in the embodiments of this application and the appended claims are also intended to include ...

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Abstract

The invention relates to an urban surface cover fine classification method and device based on a remote sensing image. The method includes: carrying out pixel-level fusion on the Landsat data, the spectral index and the surface temperature; and obtaining a new image fused with various information as input data of the model, extracting corresponding spectrums from the spectrum library in combination with a three-layer classification system to serve as training samples of the first classification model, the second classification model and the third classification model, and calculating abundanceof subdivided ground object coverage types in pixels by using a multi-layer model. Compared with the prior art, the method and device have the advantages that fine classification of the sub-pixel scale of the ground object coverage type is realized, and the precision of urban ground surface coverage classification of the remote sensing image is improved.

Description

technical field [0001] The invention relates to the technical field of geographic information, in particular to a method and device for finely classifying urban ground cover based on remote sensing images. Background technique [0002] Cement, asphalt, masonry and other artificial ground features in the city have replaced the original natural form near the surface, forming a highly connected, complex structure, and multifunctional artificial ground feature covering device. The coverage of these artificial ground objects provides the city with social, economic, cultural, infrastructure and public service conditions, but at the same time it also produces obvious ecological stress and ecological effects, affecting the urban ecological spatial structure, thereby affecting the ecological environment carrying capacity of the urban agglomeration . Secondly, different types of urban man-made ground objects have different service life and aging rates. Their distribution, management ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/13G06F18/214Y02A30/60
Inventor 邓应彬许剑辉严滢伟陈仁容
Owner GUANGZHOU INST OF GEOGRAPHY GUANGDONG ACAD OF SCI
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