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A Method for Extracting Buildings with Uniform Spectral Characteristics in Remote Sensing Images

A technology of remote sensing images and spectral characteristics, applied in the direction of instruments, character and pattern recognition, computer components, 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

Inactive Publication Date: 2017-12-19
FUJIAN NORMAL UNIV
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  • Description
  • Claims
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AI Technical Summary

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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  • A Method for Extracting Buildings with Uniform Spectral Characteristics in Remote Sensing Images
  • A Method for Extracting Buildings with Uniform Spectral Characteristics in Remote Sensing Images
  • A Method for Extracting Buildings with Uniform Spectral Characteristics in 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 satellite images such as Quick bird and World view or various types of aerial images, with a spatial resolution below 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]

[0039] Calculate the value LS of each pixel, and normalize each value LS to the interval [0,255] to obtain the image image2. The likelihood function LS represents a point in the image (x 0 ,y 0 ) local homogeneity.

[0040] The following pixel (x 0 ,y 0 ) as an example, analyze the above formula:

[0041] D. r is based on (x 0 ,y 0 ) is the center...

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Abstract

The invention relates to a method for extracting buildings with uniform spectral characteristics in remote sensing images. It includes the following steps: Step 1, using the likelihood function of the total variation of the neighborhood to calculate the value LS of each pixel in the input remote sensing image; Step 2, performing binarization processing; Step 3, performing labeling; Step 4, calculating Mark the centroid of the region; step 5, perform region growth segmentation; step 6, perform initial building extraction; step 7, obtain the segmented object sequence S; step 8, select training samples; step 9, extract texture feature information; step 10, conduct Classification. It solves the problem of low accuracy of building extraction in high spatial resolution remote sensing images, and achieves a fully automatic effect. It can be used for remote sensing image mapping, data acquisition and automatic update of 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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46G06K9/62
Inventor 施文灶
Owner FUJIAN NORMAL UNIV
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