A remote sensing image sea surface ship detection method based on visual attention mechanism and information entropy

Abstract

The invention discloses a remote sensing image sea surface ship detection method based on visual attention mechanism and information entropy, including the steps of collecting an optical remote sensing image, carrying out the wavelet decomposition, reconstructing a feature map, calculating a saliency map, counting thesaliency degree of corresponding position pixels in all feature maps based on themultivariable Gaussian probability density function, calculating a global saliency map of the inputted images, reserving the ship target area, carrying out the threshold segmentation and the slice extraction which are used for extracting the slices of the suspected ship target area; obtaining the discriminant entropy which is used to improve the deficiency of traditional entropy definition which depends on the spatial structure information of the image and to obtain the discriminant entropy which can better describe the content of the target slice; identifying the ship targets and false alarms: using the improved identification entropy to characterize the slice features of ship targets, thereby effectively distinguishing the ship targets and the false alarms. The method of the invention can detect and confirm the ship target on the sea surface of the optical remote sensing image from coarse to fine.

Description

technical field [0001] The invention belongs to the target detection and recognition in the field of remote sensing image processing and analysis, and specifically relates to a remote sensing image sea surface ship detection method based on a visual attention mechanism and information entropy. Background technique [0002] As an important military target and transport carrier at sea, ships occupy an increasingly important position in both military and civilian uses. In the military, it can monitor the deployment and dynamics of ships in the enemy's key sea areas, analyze the enemy's maritime combat strength, evaluate the effect of sea strikes in wartime, and form maritime combat intelligence, etc.; Marine rescue of ships in distress, combating illegal fishing, illegal oil dumping, smuggling and piracy. Therefore, it has important practical significance and application value to detect and identify sea surface ship targets. [0003] With the rapid development of aerospace pl...

AI Technical Summary

Problems solved by technology

[0005] It can be seen that the aforementioned method is still limited by many conditions, such as: the interference of complex sea background can easily lead to false alarms in the detection results; In the image, the ship is relatively small, and the ship target is greatly affected by the change of weather and light, and there may be missed detection problems in the detection process; in addition, in a remote sensing image, the difference between the ship target and the sea surface background is inconsistent, The black polarity and white polarity of the ship target are uncertain, and the gray distribution of the hull is uneven, which will easily lead to incomplete detection of the ship target area

Images