Hierarchical fusion and extraction method for moving target multi-source detection

Abstract

The invention belongs to the technical field of multi-source data hierarchical fusion and extraction based on a multi-source sensor, and particularly relates to a hierarchical fusion and extraction method for moving target multi-source detection. The method comprises the following steps: performing registration fusion on a visible light image and an infrared light image to obtain a first-layer fusion image; registering the first-layer fusion image and the hyperspectral image, and weakening the registered image pixels according to the ground object classification area to obtain a second-layer fusion image; and performing target detection on the second-layer fusion image to obtain position information of the target in the image, sensing the target to obtain longitude and latitude of the target in a real environment, and adjusting an attitude of the aircraft to track the target to realize continuous detection and sensing of the target. In combination of multiple image sources signal features of the multiple image sources are effectively combined through image fusion, redundant repeated data information is removed, the accuracy of target detection is improved, and the detection efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of hierarchical fusion and extraction of multi-source data based on multi-source sensors, and in particular relates to a method for hierarchical fusion and extraction of moving target multi-source detection. Background technique [0002] With the advancement and development of science and technology, the quality of the payload has been significantly improved. The increase in quality means that more sensors can be carried, and the computing power and information storage capacity of the payload have also been significantly improved. more complicated. The payload of the spacecraft can often be equipped with a variety of detection equipment, such as visible light sensors, infrared sensors, hyperspectral sensors, etc., which can respectively obtain visible light sensing data images, infrared sensing data images, hyperspectral sensing data images, etc. [0003] The premise of target tracking in images is target d...

AI Technical Summary

Problems solved by technology

[0002] With the advancement and development of science and technology, the quality of the payload has been significantly improved. The increase in quality means that more sensors can be carried, and the calculation of the payload The ability and information storage capacity have also been significantly improved, and the calculations that can be performed are more complex

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