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Remote-sensing image building location detection method based on probability

A remote sensing image and detection method technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as differences in gray scale distribution, changes in the projection of ground objects, and changes in the direction of shadow projections, so as to improve accuracy and efficiency Effect

Inactive Publication Date: 2015-07-22
FUJIAN NORMAL UNIV
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AI Technical Summary

Problems solved by technology

[0003] (1) Different shooting angles: different shooting angles will cause changes in the projection of ground objects in aerial images
[0004] (2) Different lighting conditions: due to the different shooting times of the images, different lighting conditions during imaging will lead to differences in the gray distribution of different ground features in the image, and at the same time, different sunlight angles will also change the direction of shadow projection

Method used

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  • Remote-sensing image building location detection method based on probability
  • Remote-sensing image building location detection method based on probability
  • Remote-sensing image building location detection method based on probability

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Embodiment Construction

[0031] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0032] In step 101, the input remote sensing image image1 to be processed is a Quick bird panchromatic image with a size of 1000×1000, and preprocessing such as radiometric correction and geometric correction has been performed.

[0033] In step 102, image1 is smoothed by using a bilinear filter to obtain image2.

[0034] In step 103, a controllable filter is constructed by linear combination of two basic filters, wherein the two basic filters are respectively obtained by partial derivatives in two directions:

[0035] G p 0 = ∂ ∂ x G ( x , y ) = - 2 x e ...

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Abstract

The invention relates to a remote-sensing image building location detection method based on probability. The remote-sensing image building location detection method includes the steps of (1) performing smoothing filter to acquire the image 2; (2) constructing a controllable filter; (3) convoluting; (4) binaryzating; (5) extracting structure features of twelve directions; (6) classifying straight lines and curves; (7) calculating probability of central points of candidate buildings by means of probability density functions; and (8) defining thresholds to determine location of the central points of the buildings. By determining the location of the central points of the buildings according to the probability density functions, the problem of low building-location detection efficiency caused by the conventional methods which adopt modeling and classifiers and the like is solved, accuracy and efficiency of building detection are both improved, and the effect of full automation is achieved.

Description

technical field [0001] The invention relates to the field of remote sensing image processing, in particular to a probability-based remote sensing image building position detection method. Background technique [0002] The use of remote sensing images for building change detection will be affected by many factors, which determine the difficulty of building change detection. The influencing factors mainly include the following aspects: [0003] (1) Different shooting angles: different shooting angles will cause changes in the projection of ground objects in aerial images. [0004] (2) Different lighting conditions: Due to the different shooting times of the images, different lighting conditions during imaging will lead to differences in the gray distribution of different ground features in the image. At the same time, different sun illumination angles will also change the direction of shadow projection. [0005] (3) Different seasonal moments: The simplest example is the dis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/60
CPCG06T2207/10041G06T2207/20024G06T2207/30181
Inventor 施文灶
Owner FUJIAN NORMAL UNIV
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