Multi-Stereo Image Fusion Mapping Method Considering Different Illumination and Imaging Conditions

Abstract

The invention relates to a multi-stereoscopic image fusion mapping method considering different illumination imaging conditions, comprising the following steps: 1) acquiring existing images in a research area, and selecting multiple coverage stereoscopic image pairs; 2) constructing an imaging geometric model of a remote sensing image; 3) ) carry out initial matching on the stereo image pair, and obtain the same-name point of the remote sensing image; step 4) carry out the beam adjustment of the stereo image area network on the imaging geometric model obtained in step 2), and obtain the refined imaging geometric model; 5) for each A group of stereoscopic image pairs is densely matched, and the set of image-space dense homonymous points of each group of stereoscopic image pairs is respectively obtained; 6) According to the refined imaging geometric model in 4), the image-space dense homonymous points obtained in step 5) are processed Intersection in front to obtain dense 3D point cloud of object space, and then obtain DEM through grid division and interpolation, and fuse DEM to obtain hole-free DEM; 7) Generate DOM according to hole-free DEM and refined imaging geometric model That is: an image with geographic information after terrain correction.

Description

technical field [0001] The invention relates to a multi-stereo image fusion drawing method considering different illumination and imaging conditions, and relates to the technical field of stereo photogrammetry in photogrammetry. Background technique [0002] Remote sensing mapping of the surface of planets (Moon, Mars) is a basic task in planetary exploration missions. It provides a geographic reference basis for planetary scientific exploration mission planning and scientific research, and is a basic means of obtaining planetary morphology and structure information. The current planetary orbiter remote sensing image mapping of the same area is mostly based on a pair of stereo images to produce high-precision topographic map products of the area. However, the information provided by a single stereoscopic image is often limited due to the influence of observation angles and lighting conditions, especially in some areas where the surface terrain has large fluctuations, shadows...

AI Technical Summary

Problems solved by technology

Because planetary orbits are different from the sun-synchronous orbits usually used by earth observation satellites, it is often impossible to guarantee the consistency of illumination when acquiring multiple coverage images, so the illumination conditions are often different during multiple coverages

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