Detection and Tracking Method of Maritime Moving Targets Based on Geosynchronous Orbit Satellite Optical Images

Fengqi Xiao,Fei Yuan,En Cheng

doi:10.3390/electronics9071092

Abstract

The GF-4 geosynchronous orbit satellite can observe a large area for a long time, but the unique characteristics of its optical remote sensing image restrict the detection of maritime targets. This paper proposes a maritime target detection and tracking method for the GF-4 satellite image sequence based on the differences in information between frames in the image sequence. First, a preprocessing method is proposed for the unique characteristics of the image. Then, the ViBe (Visual Background Extractor) algorithm is used to extract the targets in the image sequence. After detection, the DCF-CSR (discriminative correlation filters with channel and spatial reliability) is used as a tracker to track and correlate the detected target to complete the task of predicting and monitoring the targets’ movements. Finally, through the comparative analysis of experiments with several classic methods, the feasibility and effectiveness of this method are verified.

Highlights

IntroductionWith the advancement of spaceborne remote sensing technology, the data provided by remote sensing satellites have increased dramatically, and the update speed has become faster
With the advancement of spaceborne remote sensing technology, the data provided by remote sensing satellites have increased dramatically, and the update speed has become faster.The development of automated algorithms that can accurately and punctually extract useful information from massive remote sensing images is a key issue in the application of remote sensing technology
This paper proposes a method of marine target detection and tracking based on geosynchronous satellite visible light remote sensing images

Summary

Introduction

With the advancement of spaceborne remote sensing technology, the data provided by remote sensing satellites have increased dramatically, and the update speed has become faster. The development of automated algorithms that can accurately and punctually extract useful information from massive remote sensing images is a key issue in the application of remote sensing technology. The detection of targets in satellite remote sensing images has always been a research hotspot in the field of remote sensing image processing. Remote sensing satellites have become an important means of detecting various ground activities at home and abroad due to their large observation area and periodic repeatable visits. There are many satellites used for remote sensing image observation.

Methods

Results

Conclusion