True radiographic image acquisition method

Abstract

The invention provides a true radiographic image acquisition method, which comprises the following steps of: 1, establishing a digital surface model, and superposing a digital elevation model and a digital building model DBM to form the digital surface model required by ture radiographic image acquisition; 2, performing sight line analysis, and establishing a two-dimensional index matrix of the main image for recording the visibility of the main image; 3, according to a shielding detection algorithm, back-projecting all object space points in combination with internal and external orientationelements, judging whether the points are visible or not in combination with the states of the pixel points in the step 1, and further recording a detected shielding area; 4, because the sizes and theresolutions of the index map and the real image are the same, recording the positions of the shielding areas, projecting the shielding areas detected in the step 3 to the adjacent images except the main image, filling the invisible shielding area of the main image according to the index map, and reparing the texture of the shielding areas; step 5, carrying out color consistency processing; and 6,carrying out image mosaic.

Description

technical field [0001] The invention relates to the technical field of photography such as space, in particular to a real orthophoto collection method. Background technique [0002] The most critical technology in the process of true orthophoto acquisition is the detection of occluded areas and texture filling. The difference between different true orthophoto acquisition technologies depends on the occlusion detection method. At present, the true orthoimage generation technology is divided into two categories, one is based on DBM The real shot generation technology of DSM, and the other is the true shot generation technology based on DSM. Compared with DSM, DBM can more accurately describe the geographical information of spatial buildings, especially the outline information of buildings, so it is more conducive to the occlusion detection of multi-view images, so that the boundaries of the detected occlusion areas are smooth and regular, and the area is closed. It is benefic...

AI Technical Summary

Problems solved by technology

[0004] 1. There is no actual information compensation for the occluded area, but simply fill the occluded area with gray or black tones. Although this method is simple to process, part of the spatial and feature information of the image is lost in the result, which reduces the image quality. Interpretation ability and application ability, aesthetics also deteriorate accordingly

[0005] 2. The overlapping area of ​​adjacent images is used to process the occlusion. Since the data used for the information compensation of the occlusion area is the real information of the ground, the effect is ideal, but the occlusion information compensation needs to perform occlusion detection on multiple adjacent images and then perform texture repair. It makes it more difficult to deal with the consistency of color, resulting in the need for manual intervention and difficult to achieve automation

[0006] 3. Use the method of texture extrapolation to compensate the occlusion area. This method can be used when the occlusion range is small and the texture change is not obvious, and the ground object information in the occluded area is not very critical. However, when the occlusion range is large and the area contains Obviously this method is not applicable when the key feature information

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