|
|
Comparison of C- and L-band simulated compact polarized SAR in oil spill detection |
Xiaochen WANG1,2,3, Yun SHAO1,2,3, Fengli ZHANG1,2,3(), Wei TIAN1,2,3 |
1. Laboratory of Target Microwave Properties, Deqing Academy of Satellite Applications, Huzhou 313200, China 2. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China 3. University of Chinese Academy of Sciences, Beijing 100049, China |
|
|
Abstract This paper presents the compact polarized (CP) pseudo quad-pol parameters for the detection of marine oil spills and segregation of lookalikes using simulated CP SAR data from full-polarized (FP) SAR imagery. According to the CP theory, 11 polarized parameters generally used for the detection of oil spills were derived from reconstructed pseudo quad-pol data for both C and L bands. In addition, the reconstruction performance between C and L bands was also compared by evaluating the reconstruction accuracy of retrieved polarized parameters. The results show that apart from and , other polarized parameters of , , , , , , , and can be reconstructed with satisfactory accuracy for both C and L bands. Furthermore, C band has a higher reconstruction accuracy than L band, especially for . Moreover, the effect of reconstruction of polarized parameters on oil spill classification was also evaluated using the maximum likelihood classification (MLC) method. According to the evaluation of kappa coefficients and mapping accuracy, it is recommended to use , , , , and of the C band CP SAR for marine oil spill classification.
|
Keywords
compact polarized
reconstruction
oil spill
classification
|
Corresponding Author(s):
Fengli ZHANG
|
Just Accepted Date: 29 November 2018
Online First Date: 03 January 2019
Issue Date: 16 May 2019
|
|
1 |
CBrekke, A H Solberg (2005). Oil spill detection by satellite remote sensing. Remote Sens Environ, 95(1): 1–13
https://doi.org/10.1016/j.rse.2004.11.015
|
2 |
A FBuono, M Nunziata, XMigliaccio, XLi (2016). Polarimetric analysis of compact-polarimetry SAR architectures for sea oil slick observation. IEEE Trans Geosci Remote Sens, 54(10): 5862–5874
https://doi.org/10.1109/TGRS.2016.2574561
|
3 |
ABuono, F Nuziata, MMigliaccio (2015). On the capability of compact-polarimetry SAR architectures to observe oil slicks at sea. In: Proceedings of PolINSAR 2015 Workshop
|
4 |
M JCollins, M Denbina, BMinchew, C EJones, BHolt (2015). On the use of simulated airborne compact polarimetric SAR for characterizing oil–water mixing of the Deepwater horizon oil spill. IEEE J Sel Top Appl Earth Obs Remote Sens, 8(3): 1062–1077
https://doi.org/10.1109/JSTARS.2015.2401041
|
5 |
MDabboor, S Singha, KTopouzelis, DFlett (2017). Oil spill detection using simulated radarsat constellation mission compact polarimetric SAR data. In: Geoscience and Remote Sensing Symposium
|
6 |
MFingas, C Brown (2014). Review of oil spill remote sensing. Mar Pollut Bull, 83(1): 9–23
https://doi.org/10.1016/j.marpolbul.2014.03.059
|
7 |
V SFrost, L S Yurovsky (1985). Maximum likelihood classification of synthetic aperture radar imagery. Comput Vis Graph Image Process, 32(3): 291–313
https://doi.org/10.1016/0734-189X(85)90053-2
|
8 |
L J VKumar, J KKishore, P KRao (2014). Decomposition methods for detection of oil spills based on RISAT-1 SAR. International Journal of Remote Sensing & Geoscience, 3(4): 1–10
|
9 |
M SMajd, E Simonetto, LPolidori (2012). Maximum likelihood classification of high-resolution SAR images in urban area. Photogramm Fernerkund Geoinf, (4): 395
https://doi.org/10.1127/1432-8364/20/0126
|
10 |
MMigliaccio, A Gambardella, MTranfaglia (2007). SAR polarimetry to observe oil spills. IEEE Trans Geosci Remote Sens, 45(2): 506–511
https://doi.org/10.1109/TGRS.2006.888097
|
11 |
MNord, T Ainsworth, JLee, N J SStacy (2009). Comparison of compact polarimetric synthetic aperture radar modes. IEEE Transactions on Geoscience & Remote Sensing, 47(1): 174–188
|
12 |
FNunziata, M Migliaccio, XLi (2015). Sea oil slick observation using hybrid-polarity SAR architecture. IEEE J Oceanic Eng, 40(2): 426–440
https://doi.org/10.1109/JOE.2014.2329424
|
13 |
A BSalberg, O Rudjord, A H SSolberg (2014). Oil spill detection in hybrid-polarimetric SAR images. IEEE Trans Geosci Remote Sens, 52(10): 6521–6533
https://doi.org/10.1109/TGRS.2013.2297193
|
14 |
RShirvany, M Chabert, J YTourneret (2012). Ship and oil-spill detection using the degree of polarization in linear and hybrid/compact dual-pol SAR. IEEE J Sel Top Appl Earth Obs Remote Sens, 5(3): 885–892
https://doi.org/10.1109/JSTARS.2012.2182760
|
15 |
A H SSolberg (2012). Remote sensing of ocean oil-spill pollution. Proc IEEE, 100(10): 2931–2945
https://doi.org/10.1109/JPROC.2012.2196250
|
16 |
A H SSolberg, CBrekke, P OHusoy (2007). Oil spill detection in Radarsat and Envisat SAR images. IEEE Trans Geosci Remote Sens, 45(3): 746–755
https://doi.org/10.1109/TGRS.2006.887019
|
17 |
J CSouyris, P Imbo, RFjortoft, SMingot (2005). Compact polarimetry based on symmetry properties of geophysical media: the p/4 mode. IEEE Trans Geosci Remote Sens, 43(3): 634–646
https://doi.org/10.1109/TGRS.2004.842486
|
18 |
RTouzi, F Charbonneau (2014). Requirements on the calibration of hybrid-compact SAR. In: Geoscience and Remote Sensing Symposium, 1109–1112
|
19 |
DVelotto, M Migliaccio, FNunziata, SLehner (2011). Dual-polarized TerraSAR-X data for oil-spill observation. IEEE Trans Geosci Remote Sens, 49(12): 4751–4762
https://doi.org/10.1109/TGRS.2011.2162960
|
20 |
WWang, F Lu, PWu, JWang (2010). Oil spill detection from polarimetric SAR image. International Conference on Signal Processing IEEE, 832–835
|
21 |
JYin, J Yang, Z SZhou, JSong (2015). The extended Bragg Scattering model-based method for ship and oil-spill observation using compact polarimetric SAR. IEEE J Sel Top Appl Earth Obs Remote Sens, 8(8): 3760–3772
https://doi.org/10.1109/JSTARS.2014.2359141
|
22 |
BZhang, X Li, WPerrie, OGarcia-Pineda (2017). Compact polarimetric synthetic aperture radar for marine oil platform and slick detection. IEEE Transactions on Geoscience & Remote Sensing, 55(3): 1407–1423
|
23 |
XZhang, J Zhang, MLiu, JMeng (2016). Assessment of C-band compact polarimetry SAR for sea ice classification. Acta Oceanol Sin, 35(5): 79–88
https://doi.org/10.1007/s13131-016-0856-3
|
24 |
YZhang, J Zhang, YWang , JMeng, X Zhang (2015). The damping model for sea waves covered by oil films of a finite thickness. Acta Oceanol Sin, 34(9): 71–77
https://doi.org/10.1007/s13131-015-0729-1
|
25 |
HZheng, Y Zhang, YWang (2015). Oil spill detection based on polarimetric feature SERD. Transactions of Oceanology and Limnology, (4): 173‒180
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|