Marine Target Detection Using Dual-polarimetric SAR Imagery

doi:10.11947/j.JGGS.2021.0108

Journal of Geodesy and Geoinformation Science ›› 2021, Vol. 4 ›› Issue (1): 63-69.doi: 10.11947/j.JGGS.2021.0108

• Special Issue • Previous Articles Next Articles

Marine Target Detection Using Dual-polarimetric SAR Imagery

Tao ZHANG¹(),Armando MARINO²,Ferdinando NUNZIATA³,Domenico VELOTTO⁴,Weizeng SHAO⁵,Xiaofeng LI⁶,Maurizio MIGLIACCIO³,Huilin XIONG⁷

1. Department of Electronic Engineering, Tsinghua University, Beijing 100084, China
2. The University of Stirling, Natural Sciences, Stirling FK9 4LA, U.K.
3. Università degli Studi di Napoli Parthenope, Napoli 38-80133, Italy
4. German Aerospace Center, Bremen 28199, Germany
5. Colleage of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
6. Institute of Oceanology, Chinese Academy of Sciences, Nanhai Road, Qingdao 266071, China
7. School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Received:2020-10-10 Accepted:2020-12-25 Online:2021-03-20 Published:2021-04-06
About author:Tao ZHANG (1989-), male, postdoctor, majors in PolSAR image processing and machine learning. E-mail: zhangtao8902@mail.tsinghua.edu.cn

Abstract

Abstract:

In this study, we provide a summary of research advances in the field of maritime target detection using DP (dual-polarimetric) SAR (Synthetic Aperture Radar) imagery, accomplished during the European and China collaboration in the framework of the Dragon-4 program ID 32235. The main innovative contribution is twofold: ①We addressed ship detection proposing an improved GP-PNF (Geometrical Perturbation-Polarimetric Notch Filter), termed as IGP-PNF, that is characterized by a new feature vector that includes three new scattering features; ②We addressed oil platform detection by contrasting single-polarization SAR methods with polarimetric ones in order to quantify the extra- benefit carried on polarimetric information. The proposed theoretical framework is tested against actual multi-polarization SAR data. In particular, ship detection methods are verified against a Sentinel-1 SAR scene where a large number of ships is present; while, oil platform detection is discussed using TerraSAR-X SAR data. Experimental analysis shows that: ①The IGP-PNF method performs best in terms of clutter-to-target ratio; ②Coherent polarimetric information significantly outperforms single-polarization SAR measurements in highlighting targets in challenging cases.

Key words: marine target detection; dual-polarimetric SAR; GP-PNF; PCA; Sentinel-1; TS-X

Tao ZHANG,Armando MARINO,Ferdinando NUNZIATA,Domenico VELOTTO,Weizeng SHAO,Xiaofeng LI,Maurizio MIGLIACCIO,Huilin XIONG. Marine Target Detection Using Dual-polarimetric SAR Imagery[J]. Journal of Geodesy and Geoinformation Science, 2021, 4(1): 63-69.

Figures/Tables 6

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

References 22

[1]	BUEGER C. What is maritime security?[J]. Marine Policy, 2015,53:159-164.
[2]	BRUSCH S, LEHNER S, FRITZ T, et al. Ship surveillance with TerraSAR-X[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011,49(3):1092-1103.
[3]	ZHANG Tao, YANG Zhen, XIONG Huilin. PolSAR ship detection based on the polarimetric covariance difference matrix[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017,10(7):3348-3359.
[4]	LEE J S, POTTIER E. Polarimetric radar imaging: From basics to applications[M]. USA: CRC Press, 2009.
[5]	ROBEY F C, FUHRMANN D R, KELLY E J, et al. A CFAR adaptive matched filter detector[J]. IEEE Transactions on Aerospace and Electronic Systems, 1992,28(1):208-216.
[6]	WACKERMAN C C, FRIEDMAN K S, PICHEL W G, et al. Automatic detection of ships in RADARSAT-1 SAR imagery[J]. Canadian Journal of Remote Sensing, 2001,27(5):568-577.
[7]	ODYSSEAS P, ALIN A, DAVID B. Superpixel-Level CFAR detectors for ship detection in SAR imagery[J]. IEEE Geoscience and Remote Sensing Letters, 2018,15(9):1397-1401.
[8]	NOVAK L M, BURL M C, IRVING W W. Optimal polarimetric processing for enhanced target detection[J]. IEEE Transactions on Aerospace and Electronic Systems, 1993,29(1):234-244.
[9]	CHANEY R D, BUD M C, NOVAK L M. On the performance of polarimetric target detection algorithms[J]. IEEE Aerospace and Electronic Systems Magazine, 1990,5(11):10-15.
[10]	SUGIMOTO M, OUCHI K, NAKAMURA Y. On the novel use of model-based decomposition in SAR polarimetry for target detection on the sea[J]. Remote Sensing Letters, 2013,4(9):843-852.
[11]	CLOUDE S R, POTTIER E. An entropy based classification scheme for land applications of polarimetric SAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 1997,35(1):68-78.
[12]	NUNZIATA F, MIGLIACCIO M, BROWN C E. Reflection symmetry for polarimetric observation of man-made metallic targets at sea[J]. IEEE Journal of Oceanic Engineering, 2012,37(3):384-394.
[13]	SHIRVANY R, CHABERT M, TOURNERET J Y. Ship and oil-spill detection using the degree of polarization in linear and hybrid/compact dual-pol SAR[J]. IEEE Journal of Selected Topics in Applied Earth Observations and remote Sensing, 2012,5(3):885-892.
[14]	MARINO A, CLOUDE S R, WOODHOUSE I H. Detecting depolarized targets using a new geometrical perturbation filter[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012,50(10):3787-3799.
[15]	MARINO A, HAJNSEK I. Statistical tests for a ship detector based on the Polarimetric Notch Filter[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015,53(8):4578-4595.
[16]	MARINO A. A notch filter for ship detection with polarimetric SAR data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013,6(3):1219-1232.
[17]	MARINO A, SUGIMOTO M, OUCHI K, et al. Validating a Notch Filter for detection of targets at sea with ALOS-PALSAR Data: Tokyo Bay[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014,7(12):4907-4918.
[18]	HANNEVIK T N. Polarisation and mode combinations for ship detection using RADARSAT-2[C]// Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium. USA: IEEE, 2010: 3676-3679.
[19]	ZHANG Tao, MARINO A, XIONG Huilin, et al. A ship detector applying principal component analysis to the polarimetric Notch Filter[J]. Remote Sensing, 2018,10(6):948.
[20]	TIPPING M E, BISHOP C M. Probabilistic principal component analysis[J]. Journal of the Royal Statistical Society, 1999,61(3):611-622.
[21]	MARINO A, VELOTTO D, FUNZIATA F. Offshore metallic platforms observation using dual-polarimetric TS-X/TD-X satellite imagery: A case study in the Gulf of Mexico[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017,10(10):4376-4386.
[22]	CHENG Liang, YANG Kang, TONG Lihua, et al. Invariant triangle-based stationary oil platform detection from multitemporal synthetic aperture radar data[J]. Journal of Applied Remote Sensing, 2013,7(1):073537.

Marine Target Detection Using Dual-polarimetric SAR Imagery

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 6

References 22

Related Articles 5

Recommended Articles

Metrics

Comments

[1]	Meijie LIU,Jin WANG,Shilei ZHONG,Hao YOU,Qi LIANG,Ting CHEN,Wenbo LI,Xiaohan YANG. Quantitative Evaluation of Sea-ice Disaster in Bohai Sea Based on GOCI and Sentinel-1 [J]. Journal of Geodesy and Geoinformation Science, 2021, 4(1): 49-55.
[2]	Keren DAI,Peilian RAN,Zhenhong LI,Julian AUSTIN,Jan-Peter MULLER,Qiming ZENG,Jingfa ZHANG,Leyin HU. Land Subsidence in Xiong’an New Area, China Revealed by InSAR Observations [J]. Journal of Geodesy and Geoinformation Science, 2021, 4(1): 70-76.
[3]	Guang LIU,Perski ZBIGNIEW,Salvi STEFANO,Thiebes BENNI,Lixin WU,Jinghui FAN,Shibiao BAI,Lianhuan WEI,Shiyong YAN,Rui SONG,Bignami CHRISTIAN,Tolomei CRISTIANO,Stefan SCHNEIDERBAUER,João Sousa JOAQUIM. Land Surface Displacement Geohazards Monitoring Using Multi-temporal InSAR Techniques [J]. Journal of Geodesy and Geoinformation Science, 2021, 4(1): 77-87.
[4]	Yachang CHENG,Juliane HUTH,Yésou HERVÉ,Nyambayar BATBAYAR,Changqing DING,Fengshan LI,Martin WIKELSKI. Integrating Wintering Waterbird Movements with Earth Observation Data of Wetland Dynamics [J]. Journal of Geodesy and Geoinformation Science, 2020, 3(4): 50-59.
[5]	Long SUN, Tao WU, Guangcai SUN, Dazheng FENG, Lieshu TONG, Mengdao XING. Object Detection Research of SAR Image Using Improved Faster Region-Based Convolutional Neural Network [J]. Journal of Geodesy and Geoinformation Science, 2020, 3(3): 18-28.