At present, the GF-4 satellite is the world’s highest resolution geostationary orbit optical imaging satellite. The GF-4 satellite has the advantages of wide-swath and high-frequency imaging, so it can provide quasi-real-time images for ship surveillance. In fact, using the GF-4 satellite image to detect moving ships is to detect the gray value of the wake formed by the ship moving at sea. However, because of the geometric features of the ship’s wake vary with the speed, the ship detection method based on geometric features is not applicable. Since, not only the ship is moving in the image but also the cloud is moving all the time, the optical flow method is not applicable. Ship detection methods based on machine learning and deep learning are also not applicable due to too few texture features of the wake. In this paper, we present a novel method for ship detection in thin-cloud environments. The real image processing of GF-4 satellite shows that the proposed method can detect multiple moving ships accurately and quickly in a thin-cloud environment.
A Multiple Moving Ships Detection Method for GF-4 Satellite Image in Thin-Cloud Environment
Lect. Notes Electrical Eng.
China High Resolution Earth Observation Conference ; 2019 ; Chengdu, China September 01, 2019 - September 01, 2019
Proceedings of the 6th China High Resolution Earth Observation Conference (CHREOC 2019) ; Kapitel : 5 ; 61-71
2020-06-26
11 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Europäisches Patentamt | 2017
|Measuring system for parallel moving ships
Online Contents | 2012
|Geo Satellite Image Navigation with Cloud Detection using Multispectral Payload Image Data
Online Contents | 2008
|Detecting inshore ships in satellite images
IEEE | 2015
|