Weak and small ship target fusion detection method and device based on multi-vision salient features

Abstract

The invention provides a weak ship target fusion detection method and device based on multi-vision significant features, and the method comprises the following steps: carrying out the sea-land segmentation, cloud layer elimination and morphological filtering of a sea area sequence image obtained by an optical remote sensing staring satellite, and obtaining a sea area near-infrared image; based on the sea area near-infrared image, obtaining a target gray feature saliency map through a mean shift algorithm; obtaining a target point location distribution saliency map through a human vision system model based on the sea area near-infrared image; and taking the target point location distribution saliency map as guidance, performing image segmentation based on region growth on the gray feature saliency map, and extracting a ship target existing in the sea area near-infrared image in combination with ship target size features. The weak and small target detection method solves the problems that a weak and small target detection method in the prior art is high in missed alarm rate and false alarm rate, low in robustness and accuracy and not suitable for weak and small multi-target detection under the conditions of low signal-to-noise ratio and ocean clutter.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method and device for fusion detection of weak and small ship targets based on multi-visual salient features. Background technique [0002] Marine monitoring requires that the monitoring means can meet the monitoring capabilities of the overall distribution of marine targets, motion situation awareness and other monitoring capabilities. Optical remote sensing satellites break through the limitations of traditional sea, land, air and ocean monitoring methods, and realize continuous and real-time monitoring of targets in large areas of ocean and land, which is of great significance to traffic control and security. my country's geostationary orbit optical remote sensing satellite Gaofen-4 (GF-4) can obtain sea area images with a resolution of 50m and a width of 500km through staring imaging, which can meet the monitoring of large ships at sea. According to th...

AI Technical Summary

Problems solved by technology

Due to the lack of feature information of weak and small targets, the production of data sets is complicated, and it will also affect the convergence time of deep learning methods

[0006] The target detection method based on the HVS model is a new target detection method that has emerged in recent years. It uses the visual attention mechanism to generate a salient map of features such as size, shape, grayscale, and contrast. Target detection; however, the existing algorithms have limited ability to suppress background noise and low robustness, and are not suitable for multiple weak target detection in complex backgrounds

[0007] In addition, for the detection of multiple weak and small ship targets, the background is often complex and the clutter interference is large; the existing detection methods cannot meet the detection accuracy and robustness requirements

Images