Least-square matching method based on object space vertical double-face element

A technique of least squares and matching methods, which is applied in image data processing, instruments, calculations, etc., and can solve problems such as fuzzy angular lines and large fluctuations in the ground floor

Active Publication Date: 2013-12-25
SHENZHEN D & W SPATIAL INFORMATION TECH
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Problems solved by technology

However, there are a large number of buildings in the remote sensing images of urban areas, which makes the high-rise ground

Method used

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  • Least-square matching method based on object space vertical double-face element
  • Least-square matching method based on object space vertical double-face element
  • Least-square matching method based on object space vertical double-face element

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Embodiment Construction

[0045] In order to better understand the technical solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0046] The technical solution of the present invention can adopt computer software technology to realize the automatic operation process. The embodiment of the present invention is to match two urban area UAV images, refer to figure 1 , the steps of the process of the embodiment of the present invention are as follows:

[0047] Step 1, establish the initial normal vector.

[0048] Embodiments first input image-related parameters, and use SGM or other image-based dense point cloud generation algorithms to generate dense three-dimensional point cloud data, and the output data includes object space coordinates P(X) of any three-dimensional point in the three-dimensional point cloud data. c ,Y c ,Z c ), then refer to figure 2 Establish two mutually perpendicular initial normal ve...

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Abstract

The invention provides a least-square matching method based on an object space vertical double-face element. The method is mainly used in matching of characteristics points on building corner lines in a city area remote sensing image, and includes the steps of building initial normal vectors of each point in point cloud in dense matching, wherein the initial normal vectors include two vertical initial normal vectors, then building an error equation on the basis of the initial normal vectors of each three-dimensional point, carrying out iterative optimization of the double-face element parameter, and searching for the position of the optimal matching point. Compared with an original single face element algorithm, the characteristic points of the building corner lines can be matched, and model precision of a building in the remote sensing image is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image processing image matching, and relates to a least squares matching method based on object-space vertical double-surface elements. Background technique [0002] Image matching technology has been widely used in 3D reconstruction, splicing, retrieval, target tracking, etc., and has important application value in civilian and military medical fields. Since the surface of the object is not ideal in most cases. For example, various external occlusion relations and the influence of illumination changes, even if the brightness value or color value of the corresponding projection point of the same point on the space scene object on different two-dimensional images is not exactly the same; similarly, with the same brightness value Or the two-dimensional image projection point of the color value does not necessarily correspond to the same point on the surface of the object. Image matching tec...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 郭丙轩杨楠
Owner SHENZHEN D & W SPATIAL INFORMATION TECH
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