Method of extracting city building height based on multi-temporal remote sensing image shadow

A technology for building height and remote sensing images, applied in the field of remote sensing image processing, can solve the problems of time and space scope limitation and influence, and achieve the effects of ensuring accuracy, reducing errors, and improving accuracy and precision.

Inactive Publication Date: 2018-02-09
ZHENGZHOU UNIV
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These methods have the advantages of high efficiency, fast speed, and convenience, but

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  • Method of extracting city building height based on multi-temporal remote sensing image shadow
  • Method of extracting city building height based on multi-temporal remote sensing image shadow
  • Method of extracting city building height based on multi-temporal remote sensing image shadow

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[0052] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0053] The research area of ​​the present invention selects part of Jinshui District, Zhengzhou City, and the data are WorldView-2 image data in 2015 and 2016, and each step is processed by combining ENVI5.1 and Arcgis10.2 software. Combine now Figure 1 to Figure 11 As shown, the method for quickly constructing a 3D model of a building based on multi-temporal remote sensing image shadows includes the following steps:

[0054] Step 1: Obtain the original high-resolution remote sensing images containing the target area, and perform preprocessing processes such as cropping, radiometric calibration, atmospheric correction, and band fusion to obtain the images of the target area in 2015 and 2016.

[0055] Step 2: Combining the method of image classification and empirical knowledge, after selecting a suitable sample in the training area, selec...

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Abstract

The invention discloses a method of extracting a city building height based on multi-temporal remote sensing image shadow. A systematic, quick and accurate method is formed to use two different-temporal remote sensing images (the two images with different sun height angles and satellite azimuth angles) to carry out batch analysis and calculation on the shadow of a target building, and thus, the height of the target building in an area can be quickly and accurately extracted, and the efficiency of measurement, three-dimensional modeling and other work can be improved. In particularly, the length of the building shadow is calculated, the included angle relationship between a landmark building on the image and the shadow thereof is combined, and a corresponding mathematical model is selectedto calculate the height value of the target building in the area. According to the two groups of building height results obtained when two remote sensing images are used for calculation, a fitting equation is built based on the least square method, the height of the target building after correction is acquired, and the calculation result precision is thus improved.

Description

technical field [0001] The invention relates to the technical fields of remote sensing image processing, mathematical model design and three-dimensional structure, in particular to a method for extracting urban building height information based on multi-temporal remote sensing image shadows. Background technique [0002] With the development of the times, the speed of urbanization expansion in my country is getting faster and faster. Urban expansion includes two aspects of urban horizontal space expansion and vertical space expansion: horizontal space expansion is manifested as a sharp increase in the built-up area; vertical space is mainly manifested as The increase in the height of urban buildings, and the expansion of the vertical height of the city, on the one hand, relieves the pressure brought about by the expansion of horizontal space, and on the other hand, it can form a compact urban spatial form, which is convenient for the deployment of urban planning, resource allo...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06T7/60G06T7/62G06T17/05
CPCG06T7/60G06T17/05G06T2207/10032G06V20/176G06F18/23G06F18/2135G06F18/2411
Inventor 杨海波王宗敏毛鹏磊
Owner ZHENGZHOU UNIV
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