A Moving Ship Detection and Tracking Method Based on Optical Remote Sensing Images from the Geostationary Satellite

Geostationary optical remote sensing satellites, such as the GF-4, have a high temporal resolution and wide coverage, which enables the continuous tracking and observation of ship targets over a large range. However, the ship targets in the images are usually small and dim and the images are easily...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Wei Yu, Hongjian You, Peng Lv, Yuxin Hu, Bing Han
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	geostationary orbit satellites GF-4 satellites ship detection ship tracking visual saliency data association Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/8b1f48341bb24c7a88f1112af5a91991
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:8b1f48341bb24c7a88f1112af5a91991
record_format	dspace
spelling	oai:doaj.org-article:8b1f48341bb24c7a88f1112af5a919912021-11-25T18:57:21ZA Moving Ship Detection and Tracking Method Based on Optical Remote Sensing Images from the Geostationary Satellite10.3390/s212275471424-8220https://doaj.org/article/8b1f48341bb24c7a88f1112af5a919912021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/22/7547https://doaj.org/toc/1424-8220Geostationary optical remote sensing satellites, such as the GF-4, have a high temporal resolution and wide coverage, which enables the continuous tracking and observation of ship targets over a large range. However, the ship targets in the images are usually small and dim and the images are easily affected by clouds, islands and other factors, which make it difficult to detect the ship targets. This paper proposes a new method for detecting ships moving on the sea surface using GF-4 satellite images. First, the adaptive nonlinear gray stretch (ANGS) method was used to enhance the image and highlight small and dim ship targets. Second, a multi-scale dual-neighbor difference contrast measure (MDDCM) method was designed to enable detection of the position of the candidate ship target. The shape characteristics of each candidate area were analyzed to remove false ship targets. Finally, the joint probability data association (JPDA) method was used for multi-frame data association and tracking. Our results suggest that the proposed method can effectively detect and track moving ship targets in GF-4 satellite optical remote sensing images, with better detection performance than other classical methods.Wei YuHongjian YouPeng LvYuxin HuBing HanMDPI AGarticlegeostationary orbit satellitesGF-4 satellitesship detectionship trackingvisual saliencydata associationChemical technologyTP1-1185ENSensors, Vol 21, Iss 7547, p 7547 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	geostationary orbit satellites GF-4 satellites ship detection ship tracking visual saliency data association Chemical technology TP1-1185
spellingShingle	geostationary orbit satellites GF-4 satellites ship detection ship tracking visual saliency data association Chemical technology TP1-1185 Wei Yu Hongjian You Peng Lv Yuxin Hu Bing Han A Moving Ship Detection and Tracking Method Based on Optical Remote Sensing Images from the Geostationary Satellite
description	Geostationary optical remote sensing satellites, such as the GF-4, have a high temporal resolution and wide coverage, which enables the continuous tracking and observation of ship targets over a large range. However, the ship targets in the images are usually small and dim and the images are easily affected by clouds, islands and other factors, which make it difficult to detect the ship targets. This paper proposes a new method for detecting ships moving on the sea surface using GF-4 satellite images. First, the adaptive nonlinear gray stretch (ANGS) method was used to enhance the image and highlight small and dim ship targets. Second, a multi-scale dual-neighbor difference contrast measure (MDDCM) method was designed to enable detection of the position of the candidate ship target. The shape characteristics of each candidate area were analyzed to remove false ship targets. Finally, the joint probability data association (JPDA) method was used for multi-frame data association and tracking. Our results suggest that the proposed method can effectively detect and track moving ship targets in GF-4 satellite optical remote sensing images, with better detection performance than other classical methods.
format	article
author	Wei Yu Hongjian You Peng Lv Yuxin Hu Bing Han
author_facet	Wei Yu Hongjian You Peng Lv Yuxin Hu Bing Han
author_sort	Wei Yu
title	A Moving Ship Detection and Tracking Method Based on Optical Remote Sensing Images from the Geostationary Satellite
title_short	A Moving Ship Detection and Tracking Method Based on Optical Remote Sensing Images from the Geostationary Satellite
title_full	A Moving Ship Detection and Tracking Method Based on Optical Remote Sensing Images from the Geostationary Satellite
title_fullStr	A Moving Ship Detection and Tracking Method Based on Optical Remote Sensing Images from the Geostationary Satellite
title_full_unstemmed	A Moving Ship Detection and Tracking Method Based on Optical Remote Sensing Images from the Geostationary Satellite
title_sort	moving ship detection and tracking method based on optical remote sensing images from the geostationary satellite
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/8b1f48341bb24c7a88f1112af5a91991
work_keys_str_mv	AT weiyu amovingshipdetectionandtrackingmethodbasedonopticalremotesensingimagesfromthegeostationarysatellite AT hongjianyou amovingshipdetectionandtrackingmethodbasedonopticalremotesensingimagesfromthegeostationarysatellite AT penglv amovingshipdetectionandtrackingmethodbasedonopticalremotesensingimagesfromthegeostationarysatellite AT yuxinhu amovingshipdetectionandtrackingmethodbasedonopticalremotesensingimagesfromthegeostationarysatellite AT binghan amovingshipdetectionandtrackingmethodbasedonopticalremotesensingimagesfromthegeostationarysatellite AT weiyu movingshipdetectionandtrackingmethodbasedonopticalremotesensingimagesfromthegeostationarysatellite AT hongjianyou movingshipdetectionandtrackingmethodbasedonopticalremotesensingimagesfromthegeostationarysatellite AT penglv movingshipdetectionandtrackingmethodbasedonopticalremotesensingimagesfromthegeostationarysatellite AT yuxinhu movingshipdetectionandtrackingmethodbasedonopticalremotesensingimagesfromthegeostationarysatellite AT binghan movingshipdetectionandtrackingmethodbasedonopticalremotesensingimagesfromthegeostationarysatellite
_version_	1718410475372281856

A Moving Ship Detection and Tracking Method Based on Optical Remote Sensing Images from the Geostationary Satellite

Ejemplares similares