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Method for extracting buildings with uniform spectral characteristics from remote sensing images

A technology of remote sensing image and spectral characteristics, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problems of high degree of automation and difficulty in building extraction, and achieve the effect of high degree of automation and overcoming difficulties in extraction.

Active Publication Date: 2015-07-22
FUJIAN NORMAL UNIV
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Problems solved by technology

[0007] The invention provides a method for extracting buildings with uniform spectral characteristics in remote sensing images, which can overcome the difficulty of extracting buildings in remote sensing images with high spatial resolution and can detect buildings with relatively regular shapes in remote sensing images target, without manual intervention, high degree of automation

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  • Method for extracting buildings with uniform spectral characteristics from remote sensing images
  • Method for extracting buildings with uniform spectral characteristics from remote sensing images
  • Method for extracting buildings with uniform spectral characteristics from remote sensing images

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Embodiment Construction

[0035] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0036] In step 101, the input remote sensing image image1 to be processed is a high spatial resolution remote sensing image, which can be Quick bird, World view and other satellite images or various aerial images, with a spatial resolution of less than 1 meter, and the input remote sensing image needs to be Perform preprocessing such as radiometric correction and geometric correction.

[0037] In step 102, the likelihood function of the neighborhood total variation is used:

[0038] LS ( u ( x 0 , y 0 ) ) = ∫ D r ...

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Abstract

The invention relates to a method for extracting buildings with uniform spectral characteristics from remote sensing images. The method includes the following steps: firstly, utilizing a likelihood function of total variation of neighborhoods to calculate a value LS of each pixel inputted into the remote sensing images; secondly, performing binarization processing; thirdly, performing marking; fourthly, calculating the center of mass of a marked region; fifthly, performing region growing segmentation; sixthly, performing preliminary building extraction; seventhly, acquiring a segmentation object sequence S; eighthly, selecting a training sample; ninthly, extracting texture feature information; tenthly, performing classification. The problem of low accuracy of building extraction in high-spatial-resolution remote sensing images is solved, full automation is achieved, and the method is used for data acquisition and automatic updating of remote sensing image mapping and geographic information systems.

Description

technical field [0001] The invention relates to the field of remote sensing image processing, in particular to a method for extracting buildings with uniform spectral characteristics in remote sensing images. Background technique [0002] Buildings are one of the main geographical elements of a city and an important content of various urban thematic maps. Researching the extraction of buildings is of great significance for comprehensively examining the urban geographic information environment. With the rapid development of high-resolution remote sensing image acquisition technology, the processing, analysis and application of remote sensing images have better data sources, and its digital products have wider and more in-depth applications. Various degrees of progress have been made in computer image processing technology, pattern recognition, artificial intelligence, etc., which provide the possibility to efficiently extract effective information from massive images. Howeve...

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Application Information

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IPC IPC(8): G06K9/46G06K9/62
Inventor 施文灶
Owner FUJIAN NORMAL UNIV
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