Method for imaging geometric model based on Pluecker straight line

Abstract

The invention discloses a method for an imaging geometric model based on a Pluecker straight line, and belongs to the field of surveying and mapping. The method comprises the following steps that a homonymous straight line is extracted from image space and object space; the image space is linearly and spirally moved to be linearly coplanar with the object space, and a coplanar condition equation is obtained; a Pluecker straight line imaging geometric model of a strong geometric condition can be built through the coplanar condition equation; an outer orientation element is calculated through the least square adjustment theory. The spiral movement of a space vector can be visually and clearly represented through the Pluecker straight line, the model is simple, and the geometric meaning is clear. Compared with a traditional method, the imaging geometric model based on the Pluecker straight line is higher in geometric locating precision and more stable in result.

Description

technical field [0001] The invention relates to an imaging geometric model method, which belongs to the field of surveying and mapping science and technology. Background technique [0002] The core problem of photogrammetry is to establish the imaging geometric model, that is, starting from the relationship of various elements in the ground object space, determining the mapping relationship of various spatial elements from the three-dimensional object space to the two-dimensional image space, and restoring the three-dimensional space from the two-dimensional image Correspondence between elements. There are two main problems in the traditional imaging geometric model: first, there are few obvious points (intersections and corners) in most remote sensing images, and because of the mutual occlusion of photographic targets and the occlusion of the target itself, it is very difficult to extract sufficient and accurate feature points. Difficult to realize; secondly, when point ph...

AI Technical Summary

Problems solved by technology

There are two main problems in the traditional imaging geometric model: first, there are few obvious points (intersections and corners) in most remote sensing images, and because of the mutual occlusion of photographic targets and the occlusion of the target itself, it is very difficult to extract sufficient and accurate feature points. Difficult to realize; secondly, when point photogrammetry is used to adjust the imaging geometric model, due to the continuous accumulation of accidental errors, the external orientation elements of the image, especially Zs and φ, are easy to bend and deform

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