Inshore Ship Change Detection Based on Spatial-Temporal Saliency

Long Ma; Wenchao Liu; Zhong Han; Jue Wang; He Chen

doi:10.1109/IGARSS.2019.8899210

Inshore Ship Change Detection Based on Spatial-Temporal Saliency

Long Ma, Wenchao Liu, Zhong Han, Jue Wang, He Chen

Zhengzhou University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Automatical inshore ship change detection in optical remote sensing images is meaningful for a wide range of applications, but still a challenging task. In this paper, a visual search inspired model is proposed for inshore ship change detection. The proposed model achieves inshore ship change information extraction based on spatial-temporal saliency detection which mimics visual search mechanism. Experimental results performed on a Google Earth optical remote sensing image data set demonstrate the effectiveness of the proposed model in terms of visual and objective evaluations.

Original language	English
Title of host publication	2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1641-1644
Number of pages	4
ISBN (Electronic)	9781538691540
DOIs	https://doi.org/10.1109/IGARSS.2019.8899210
Publication status	Published - Jul 2019
Externally published	Yes
Event	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan Duration: 28 Jul 2019 → 2 Aug 2019

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Country/Territory	Japan
City	Yokohama
Period	28/07/19 → 2/08/19

Keywords

optical remote sensing image
ship change detection
spatial-temporal saliency
visual search mechanism

Access to Document

10.1109/IGARSS.2019.8899210

Cite this

Ma, L., Liu, W., Han, Z., Wang, J., & Chen, H. (2019). Inshore Ship Change Detection Based on Spatial-Temporal Saliency. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings (pp. 1641-1644). Article 8899210 (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2019.8899210

@inproceedings{25b197c8b0bb476fae5fb2df1430e56c,

title = "Inshore Ship Change Detection Based on Spatial-Temporal Saliency",

abstract = "Automatical inshore ship change detection in optical remote sensing images is meaningful for a wide range of applications, but still a challenging task. In this paper, a visual search inspired model is proposed for inshore ship change detection. The proposed model achieves inshore ship change information extraction based on spatial-temporal saliency detection which mimics visual search mechanism. Experimental results performed on a Google Earth optical remote sensing image data set demonstrate the effectiveness of the proposed model in terms of visual and objective evaluations.",

keywords = "optical remote sensing image, ship change detection, spatial-temporal saliency, visual search mechanism",

author = "Long Ma and Wenchao Liu and Zhong Han and Jue Wang and He Chen",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 ; Conference date: 28-07-2019 Through 02-08-2019",

year = "2019",

month = jul,

doi = "10.1109/IGARSS.2019.8899210",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1641--1644",

booktitle = "2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings",

address = "United States",

}

Ma, L, Liu, W, Han, Z, Wang, J & Chen, H 2019, Inshore Ship Change Detection Based on Spatial-Temporal Saliency. in 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings., 8899210, International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., pp. 1641-1644, 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019, Yokohama, Japan, 28/07/19. https://doi.org/10.1109/IGARSS.2019.8899210

Inshore Ship Change Detection Based on Spatial-Temporal Saliency. / Ma, Long; Liu, Wenchao; Han, Zhong et al.
2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1641-1644 8899210 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Inshore Ship Change Detection Based on Spatial-Temporal Saliency

AU - Ma, Long

AU - Liu, Wenchao

AU - Han, Zhong

AU - Wang, Jue

AU - Chen, He

PY - 2019/7

Y1 - 2019/7

N2 - Automatical inshore ship change detection in optical remote sensing images is meaningful for a wide range of applications, but still a challenging task. In this paper, a visual search inspired model is proposed for inshore ship change detection. The proposed model achieves inshore ship change information extraction based on spatial-temporal saliency detection which mimics visual search mechanism. Experimental results performed on a Google Earth optical remote sensing image data set demonstrate the effectiveness of the proposed model in terms of visual and objective evaluations.

AB - Automatical inshore ship change detection in optical remote sensing images is meaningful for a wide range of applications, but still a challenging task. In this paper, a visual search inspired model is proposed for inshore ship change detection. The proposed model achieves inshore ship change information extraction based on spatial-temporal saliency detection which mimics visual search mechanism. Experimental results performed on a Google Earth optical remote sensing image data set demonstrate the effectiveness of the proposed model in terms of visual and objective evaluations.

KW - optical remote sensing image

KW - ship change detection

KW - spatial-temporal saliency

KW - visual search mechanism

UR - http://www.scopus.com/inward/record.url?scp=85077680384&partnerID=8YFLogxK

U2 - 10.1109/IGARSS.2019.8899210

DO - 10.1109/IGARSS.2019.8899210

M3 - Conference contribution

AN - SCOPUS:85077680384

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 1641

EP - 1644

BT - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019

Y2 - 28 July 2019 through 2 August 2019

ER -

Ma L, Liu W, Han Z, Wang J, Chen H. Inshore Ship Change Detection Based on Spatial-Temporal Saliency. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1641-1644. 8899210. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2019.8899210

Inshore Ship Change Detection Based on Spatial-Temporal Saliency

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Keywords

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