A Dual-Payload Remote Sensing Image Fusion Method

Abstract

The invention discloses a dual-load remote sensing image fusion method, one: collecting infrared images and visible light images of the same scene at the same time; second: obtaining the background average parameter value of the visible light image; third: performing target detection on the visible light image to obtain a target slice; Four: Get the physical position of the target according to the image coordinates of the target slice; Five: Get the image coordinates of the target on the infrared image according to the physical position of the target, and take the coordinates as the center to intercept the image block F containing the target; Six: According to the parameters value sets the threshold P, counts the number N of pixels whose gray value is greater than P in the image block F; when the number N of pixels is in the set value range and the distribution of pixels greater than P is concentrated, the target slice is For a real target, when the number of pixels N is greater than the right end value of the set numerical interval, the target slice is a real target; the invention can reduce the false alarm rate in optical image target detection and improve the target detection rate.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image detection, in particular to a dual-load remote sensing image fusion method. Background technique [0002] Due to the complex carrier environment, the target information has obvious diversity and uncertainty, and the information provided by a single remote sensing information source has limitations, making it difficult to obtain an accurate description of the scene. Comprehensive use of high-resolution visible light, infrared images and other information to achieve accurate detection and recognition of time-sensitive targets (aircraft, ships, vehicles, etc.) is an important development direction of high-resolution image target detection and recognition technology. In the current co-optical integrated satellite, visible light and infrared imaging devices are co-optical, which provides the basis for the fusion of the two types of images. [0003] In infrared images, targets such as ship...

AI Technical Summary

Problems solved by technology

[0003] In infrared images, targets such as ships, airplanes, vehicles, etc. have obvious contrast with the background area, and the outline information of the target is more prominent, while in visible light, the target is easily disturbed by painting and background, which is not conducive to the extraction of target candidate areas; , the time-sensitive target has strong saliency in the local background, that is, the target has a large difference from the background in the local range

Visible light images have rich target information, precise contours, and obvious texture features, but they cannot work at night and have no camouflage recognition capabilities; infrared data has the advantages of irrelevant lighting conditions, uninterrupted observation, high measurement accuracy, and strong target recognition capabilities. Vague

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