Method for automatically recognizing target at medium and low altitudes and positioning carrier with high accuracy

Abstract

The invention discloses a method for automatically recognizing a target at medium and low altitudes and positioning a carrier with high accuracy and belongs to the field of scene matching guidance. The method comprises the following steps of: extracting a constant algorithm and establishing an H model based on an image scale characteristic to match and recognize targets and provide a high-accuracy navigation information source; coordinating and planning relative parameters according to a matching result which is fed back in a self-adaptive mode to further control matching performance; researching integral image-based average filtering which generates an image multi-scale space instead of Gauss convolutional filtering so as to increase a matching speed; establishing an image space transformation model which adapts to the strong matching capability of the algorithm based on the thought of random sampling consistency according to an image matching result; and eliminating accurate positioning pixels of wrongly matched points based on the model to recognize the target and provide the high-accuracy navigation information source through model mapping, and simultaneously, selecting a digraph of known transformation parameters to verify the performance and the result of an image matching algorithm according to the transformation model.

Description

technical field [0001] The invention relates to using an image matching method and constructing an inter-image transformation model to accurately identify a target at medium and low altitudes and provide a high-precision navigation information source for a carrier. It belongs to the field of scene matching guidance. Background technique [0002] The use of image matching to achieve accurate target detection and carrier positioning in the low-to-medium altitude field of view has been widely used in military and civilian fields such as scene matching guidance, military reconnaissance, disaster relief, air support, and terrain survey. Among them, foreign countries carried out research in this field earlier in the military field: the United States began to carry out research on scene matching aided navigation since the 1970s, and it has been successfully applied in "Tomahawk" and "F-16" with good results ; In the autonomous flight of UAVs, the research on scene matching-assiste...

AI Technical Summary

Problems solved by technology

At present, Hausdorff image matching and its improved algorithm, which are widely studied in scene matching-assisted navigation, have low efficiency, low accuracy rate, and high probability of no matching; : Scale Invariant Feature Transform) algorithm, although it has the strongest robustness and good real-time performance among similar operators, but in the field of scene matching guidance, the matching results are completely uncontrollable, there are many wrong matching points, and the transformation model is lacking. , Image matching results have no effective means of verification, no acceleration methods, etc., which seriously limit its application in scene matching guidance

At present, domestic research on solving such problems has not yet been carried out. It is necessary to improve the scale-invariant feature extraction algorithm based on the robust matching ability of the scale-invariant feature extraction algorithm, and to combine the requirements of target recognition and navigation in the low- and medium-altitude field of view. And the necessary functions in scene matching guidance;

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