Low-altitude remote sensing image rapid and automatic splicing method without POS assisting

Abstract

The invention discloses a low-altitude remote sensing image rapid and automatic splicing method without POS assisting. The method comprises the first step of full-automatic restoration of a low-altitude remote sensing image test area, the second step of conducting fine matching on a preprocessed image according to fine matching seed points to obtain a fine matching result, the third step of conducting free network adjustment iteration on the fine matching result to obtain an adjustment result, and the fourth step of conducting interpolation to generate a digital ground model of the image according to the adjustment result, obtaining a relative outer orientation element of the image under the free network coordinate system according to the adjustment result, conducting orthographic rectification on the image based on the digital ground model and the relative outer orientation element, and meanwhile generating an orthographic image splicing image of the test area. The method is free of POS data assisting, the orthographic image splicing image can be rapidly produced in a full-automatic mode, the remote sensing image quasi real-time processing requirement can be met, and the method is suitable for the fields of disaster emergency response, military security and the like.

Description

[0001] technical field [0002] The invention belongs to the field of surveying and mapping science and technology, and relates to a fast and automatic splicing method of low-altitude remote sensing images without POS assistance, which is mainly applied to data processing of low-altitude remote sensing images. Background technique [0003] Aerial remote sensing image data has been widely used in urban planning, land resources, surveying and mapping, agriculture, forestry, transportation, environmental protection and other fields. In response to natural disasters such as earthquakes, floods, and fires, as well as national security emergencies, faster, real-time, and more accurate data and products are needed, and mid- and low-altitude remote sensing images will play a leading role. Medium and low-altitude unmanned aerial vehicle is an effective means to quickly obtain high-resolution and high-precision remote sensing images. The accuracy of the POS (Airborne Positioning and ...

AI Technical Summary

Problems solved by technology

In recent years, panoramic image stitching technology based on computer vision theory has been developed rapidly. Although this fast stitching technology does not require POS data, camera parameters, etc., experiments have shown that this panoramic image stitching technology can only handle dozens of close-range images. , completely unable to meet the practical application of hundreds or thousands of low-altitude remote sensing images

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