A Ship Detection Method in Infrared Remote Sensing Image

Abstract

This project belongs to the field of target recognition in remote sensing image processing. It provides a ship detection method for infrared remote sensing images, which solves the problems of cumbersome process, low robustness, and narrow application range of existing detection methods based on artificially designed features and based on deep learning. In the complex ocean environment of infrared remote sensing images, the ship targets are small, and there are many problems of missed detection and false detection. Its main scheme includes creating an infrared remote sensing ship data set, performing offline data enhancement, and dividing the data set into training set, verification set, and test set; inputting the divided training set into the improved RefineDet detection network for training, the The core of the detection network is the basic feature extraction network ResNet101 and the feature pyramid feature fusion module FPN combined with the visual saliency module CBAM. The detection process is a two-step cascade regression model, which will help improve the category recognition and Position regression accuracy, the network output threshold filtered category confidence and regression frame, and then use non-maximum value suppression to get the final ship target detection result.

Description

technical field [0001] An infrared remote sensing image ship detection method is used for infrared remote sensing image imaging ship target detection and belongs to the field of target detection in remote sensing and infrared image processing. Background technique [0002] The target detection task is to find out all the specific targets in the image, and determine their position and size. Since the targets in the image or video have different sizes and are easily affected by factors such as illumination, occlusion and similar object interference, the target detection problem It has always been a very challenging task in the field of machine vision. Object detection is widely used in monitoring equipment, face recognition, automatic driving, national defense and security and other fields. [0003] The task of object detection in remote sensing images is to mark one or more objects of interest in a given aerial or satellite image. Among them, ship detection is a research ho...

AI Technical Summary

Problems solved by technology

[0007] The object of the present invention is: the present invention provides a kind of ship detection method of infrared remote sensing image, overcomes the problem that the existing method can not realize real-time and accurate positioning of ship target position under the trade-off between detection accuracy and speed of remote sensing image ship problem, it can improve the detection ability in the case of real-time detection

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