Coastline detection based on polarimetric characteristics and mathematical morphology using PolSAR images

Bin Zou; Chenyi Wang; Chengyi Wang; Lamei Zhang

doi:10.1109/IGARSS.2017.8128017

Coastline detection based on polarimetric characteristics and mathematical morphology using PolSAR images

Bin Zou
, Chenyi Wang
, Chengyi Wang
, Lamei Zhang

School of Electronics and Information Engineering

Harbin Institute of Technology
Forestry Research Institute of Heilongjiang Province

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

5 Scopus citations

Abstract

A coastline detection method for PolSAR image, which uses polarimetric characteristics and mathematical morphology, is proposed in this paper. In this method, both intensity and orientation angle are used to seperate sea water and land. Then, in order to reduce the impact of cultivated land affection during aforementioned process, i.e., fuzzy boundary and small cavities, mathematical morphology is utilized for better coastline processing. Experiments are conducted over the UAVSAR L-band PolSAR data. The results show that the proposed method can effectively and accurately detect the coastline in PolSAR images.

Original language	English
Title of host publication	2017 IEEE International Geoscience and Remote Sensing Symposium
Subtitle of host publication	International Cooperation for Global Awareness, IGARSS 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4562-4565
Number of pages	4
ISBN (Electronic)	9781509049516
DOIs	https://doi.org/10.1109/IGARSS.2017.8128017
State	Published - 1 Dec 2017
Event	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 - Fort Worth, United States Duration: 23 Jul 2017 → 28 Jul 2017

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2017-July

Conference

Conference	37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017
Country/Territory	United States
City	Fort Worth
Period	23/07/17 → 28/07/17

Keywords

Coastline detection
Mathematical morphology
Orientation angle
Polarimetric synthetic aperture radar

Access to Document

10.1109/IGARSS.2017.8128017

Cite this

Zou, B., Wang, C., Wang, C., & Zhang, L. (2017). Coastline detection based on polarimetric characteristics and mathematical morphology using PolSAR images. In 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings (pp. 4562-4565). Article 8128017 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2017-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2017.8128017

Zou, Bin ; Wang, Chenyi ; Wang, Chengyi et al. / Coastline detection based on polarimetric characteristics and mathematical morphology using PolSAR images. 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 4562-4565 (International Geoscience and Remote Sensing Symposium (IGARSS)).

@inproceedings{1e8610609d7d4626a6811eef74a609be,

title = "Coastline detection based on polarimetric characteristics and mathematical morphology using PolSAR images",

abstract = "A coastline detection method for PolSAR image, which uses polarimetric characteristics and mathematical morphology, is proposed in this paper. In this method, both intensity and orientation angle are used to seperate sea water and land. Then, in order to reduce the impact of cultivated land affection during aforementioned process, i.e., fuzzy boundary and small cavities, mathematical morphology is utilized for better coastline processing. Experiments are conducted over the UAVSAR L-band PolSAR data. The results show that the proposed method can effectively and accurately detect the coastline in PolSAR images.",

keywords = "Coastline detection, Mathematical morphology, Orientation angle, Polarimetric synthetic aperture radar",

author = "Bin Zou and Chenyi Wang and Chengyi Wang and Lamei Zhang",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 ; Conference date: 23-07-2017 Through 28-07-2017",

year = "2017",

month = dec,

day = "1",

doi = "10.1109/IGARSS.2017.8128017",

language = "英语",

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

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

pages = "4562--4565",

booktitle = "2017 IEEE International Geoscience and Remote Sensing Symposium",

address = "美国",

}

Zou, B, Wang, C, Wang, C & Zhang, L 2017, Coastline detection based on polarimetric characteristics and mathematical morphology using PolSAR images. in 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings., 8128017, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2017-July, Institute of Electrical and Electronics Engineers Inc., pp. 4562-4565, 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017, Fort Worth, United States, 23/07/17. https://doi.org/10.1109/IGARSS.2017.8128017

Coastline detection based on polarimetric characteristics and mathematical morphology using PolSAR images. / Zou, Bin; Wang, Chenyi; Wang, Chengyi et al.
2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 4562-4565 8128017 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2017-July).

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

TY - GEN

T1 - Coastline detection based on polarimetric characteristics and mathematical morphology using PolSAR images

AU - Zou, Bin

AU - Wang, Chenyi

AU - Wang, Chengyi

AU - Zhang, Lamei

PY - 2017/12/1

Y1 - 2017/12/1

N2 - A coastline detection method for PolSAR image, which uses polarimetric characteristics and mathematical morphology, is proposed in this paper. In this method, both intensity and orientation angle are used to seperate sea water and land. Then, in order to reduce the impact of cultivated land affection during aforementioned process, i.e., fuzzy boundary and small cavities, mathematical morphology is utilized for better coastline processing. Experiments are conducted over the UAVSAR L-band PolSAR data. The results show that the proposed method can effectively and accurately detect the coastline in PolSAR images.

AB - A coastline detection method for PolSAR image, which uses polarimetric characteristics and mathematical morphology, is proposed in this paper. In this method, both intensity and orientation angle are used to seperate sea water and land. Then, in order to reduce the impact of cultivated land affection during aforementioned process, i.e., fuzzy boundary and small cavities, mathematical morphology is utilized for better coastline processing. Experiments are conducted over the UAVSAR L-band PolSAR data. The results show that the proposed method can effectively and accurately detect the coastline in PolSAR images.

KW - Coastline detection

KW - Mathematical morphology

KW - Orientation angle

KW - Polarimetric synthetic aperture radar

UR - https://www.scopus.com/pages/publications/85041812652

U2 - 10.1109/IGARSS.2017.8128017

DO - 10.1109/IGARSS.2017.8128017

M3 - 会议稿件

AN - SCOPUS:85041812652

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 4562

EP - 4565

BT - 2017 IEEE International Geoscience and Remote Sensing Symposium

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017

Y2 - 23 July 2017 through 28 July 2017

ER -

Zou B, Wang C, Wang C, Zhang L. Coastline detection based on polarimetric characteristics and mathematical morphology using PolSAR images. In 2017 IEEE International Geoscience and Remote Sensing Symposium: International Cooperation for Global Awareness, IGARSS 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 4562-4565. 8128017. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.2017.8128017

Coastline detection based on polarimetric characteristics and mathematical morphology using PolSAR images

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Keywords

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