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Homonymy point gross error elimination method matched with ortho-image mosaic edge joining

A technology of orthophoto and gross error removal, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problem of not being able to obtain transformation model parameters, and achieve the effect of ensuring geometric accuracy and improving edge joining accuracy

Active Publication Date: 2017-05-10
BEIJING AEROSPACE TITAN TECH CO LTD
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Problems solved by technology

Therefore, the least squares method can be used to solve the problem, but considering that there may be some wrong matching points in the matching points of the same name, the correct transformation model parameters between image planes cannot be obtained directly by the least squares method

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  • Homonymy point gross error elimination method matched with ortho-image mosaic edge joining
  • Homonymy point gross error elimination method matched with ortho-image mosaic edge joining
  • Homonymy point gross error elimination method matched with ortho-image mosaic edge joining

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Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, so as to help understand the content of the present invention.

[0045] In order to explain the technical solution of the present invention more clearly and completely, some concepts involved in the technical solution are firstly introduced: for two orthophoto images to be mosaicked, the mosaic border area refers to the geographic location of the two adjacent images. overlapping areas such as Figure 2a Fill the area C in the middle; select a splicing line connecting the images on both sides in the overlapping area to splice so that the formed new image is integrated, then the splicing line is a mosaic line; The center of the image; the buffer extent specified within the bounding region is defined as the area at a certain distance from the mosaic line, such as Figure 2b Shown in the area between the two dotted lines; where P1 and P1', P2 and P2...

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Abstract

The invention discloses a homonymy point gross error elimination method matched with ortho-image mosaic edge joining. The method comprises the following steps: designating a mosaic edge correction range in a mosaic edge region of a to-be-mosaicked ortho-image: matching homonymy points in the mosaic edge correction range; computing the residual error of the completely matched homonymy point pair; setting a gross error elimination rule so as to perform the gross error point elimination on the acquired homonymy point pair according to a gross error elimination rule. By use of the homonymy point gross error elimination method disclosed by the invention, the aims of eliminating the homonymy point and acquiring a precise matching point subset are achieved in a certain range distancing from a mosaic line; and then the precisely matched points are used for computing a conversion model parameter, thereby realizing the correct mosaicking of the image. The edge joining of two adjacent images is effectively improved, and the entire geometric accuracy of the large region mosaic image can be guaranteed at the same time.

Description

technical field [0001] The invention relates to the technical field of image mosaic processing of remote sensing images, in particular to a method for removing homonymous point gross errors for orthophoto image mosaic and edge matching. Background technique [0002] Image mosaicing is a technique of obtaining a wide-field, high-resolution full-dimensional scene image through image registration and fusion of image sequences acquired from the real world. Due to digital elevation model (Digital Elevation Model, DEM) errors, control data, point distribution, pixel measurement errors, etc., the orthorectified images may have geometric position deviations in the mosaic overlapping area . If the deviation of the geometric position of the image is not dealt with, the stitched image will have obvious misalignment, ghosting and image blur, which will reduce the accuracy of the mosaic image. The feature-based image mosaic method generally needs to extract the features of the image. T...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/33G06T7/35
CPCG06T2207/10032G06T2207/20221
Inventor 倪金生李传广刘文静钱晓明王红燕苏晓玉
Owner BEIJING AEROSPACE TITAN TECH CO LTD
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