Object-oriented multiple scale mountainous city land coverage information obtaining method

A land-covering, object-oriented technology, applied in the field of image processing, can solve the problems of seldom using texture and geometric features of ground objects, difficult to obtain satisfactory results, single spectral features, etc., achieve fast and high-precision extraction, improve classification effect, high precision effect

Inactive Publication Date: 2015-11-18
CHONGQING JIAOTONG UNIVERSITY
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Problems solved by technology

Traditional remote sensing image classification methods mainly use the spectral characteristics of pixels, and seldom use the texture and geometric characteristics of ground objects. The classification effect of medium and low resolution remote sensing images is better, while the spectral characteristics of high spatial resolution image pixels are relatively single

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  • Object-oriented multiple scale mountainous city land coverage information obtaining method
  • Object-oriented multiple scale mountainous city land coverage information obtaining method
  • Object-oriented multiple scale mountainous city land coverage information obtaining method

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Embodiment Construction

[0037] 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 efforts belong to the protection scope of the present invention.

[0038] See figure 1 , figure 1 It is a flow chart of the first embodiment of the object-oriented multi-scale mountainous city land cover information acquisition method of the present invention. The method for obtaining land cover information based on object-oriented multi-scale mountainous cities of the present embodiment comprises the following steps:

[0039] S101. Establish a classification system in advance, wherein the classification system includes at ...

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Abstract

The invention discloses an object-oriented multiple scale mountainous city land coverage information obtaining method, comprising the steps of: S101, establishing a classification system in advance; S102, performing multiple scale image segmentation on a shot remote sensing image; S103, comparing images after each time of segmentation to determine a best segmentation scale image, wherein the image after each time of segmentation is composed of a plurality of pattern spots of different shapes; S104, establishing the fuzzy classification standard of each land type, and correspondingly classifying the pattern spots in the best segmentation scale image meeting the fuzzy classification standard to corresponding land types; S105, establishing a nearest classification standard, and performing nearest classification on the pattern spots not classified in the best segmentation scale image so as to classify the pattern spots not classified to a land type with nearest characteristics, thereby realizing image object complete classification; and S106, generating classified images, merging classifications and generating classified images.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an object-oriented method for acquiring land cover information of multi-scale mountainous cities from remote sensing images. Background technique [0002] With the development of remote sensing satellite technology, remote sensing images with high spatial resolution are widely used in the extraction of urban land change / land cover information due to their clearer details and richer information. The phenomena of the same spectrum and different objects and the same object and different spectrum are serious in mountainous cities, with various types of land use, rich textures, intricate spatial relationships between land types, and difficult to extract land cover information. Traditional remote sensing image classification methods mainly use the spectral characteristics of pixels, and seldom use the texture and geometric characteristics of ground objects. The classification effect o...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/241
Inventor 牟凤云何顺兵
Owner CHONGQING JIAOTONG UNIVERSITY
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