참고문헌
- Beaucage, P., Glazer, A., Choisnard, J., Yu, W., Bernier, M., Benoit, R., and Lafrance, G., 2007, Wind assessment in a coastal environment using synthetic aperture radar satellite imagery and a numerical weather prediction model. Canadian Journal of Remote Sensing, 33(5), 368-377. https://doi.org/10.5589/m07-043
- Chan, Y.K. and Koo, V.C., 2008, An introduction to synthetic aperture radar (SAR). Progress In Electromagnetics Research B, 2, 27-60. https://doi.org/10.2528/PIERB07110101
- Cipollini, P., Benveniste, J., Bouffard, J., Emery, W., Gommenginger, C., Griffin, D., Hoyer, J., Kurapov, A., Madsen, K., Mercier, F., Miller, L., Pascual, A., Ravichandran, M., Shillington, F., Snaith, H., Strub, P.T., Vandemark, D., Vignudelli, S., Wilkin, J., Woodworth, P., and Pascual, A., 2010, The role of altimetry in coastal observing systems. In Ocean information for society: sustating the benefits, realizing the potential, Proceedings of OceanObs, 9, 181-191.
- Cornillon, P. and Park, K., 2001, Warm core ring velocities inferred from NSCAT. Geophysical Research Letters, 28(4), 575-578. https://doi.org/10.1029/2000gl011487
- Ebuchi, N., 1999, Statistical distribution of wind speeds and directions globally observed by NSCAT. Journal of Geophysical Research: Oceans, 104(C5), 11393-11403. https://doi.org/10.1029/98JC02061
- Elfouhaily, T., 1996, Physical modeling of electromagnetic backscatter from the ocean surface: Application toretrieval of wind fields and wind stress by remote sensing of the marine atmospheric boundary layer. Ph.D. dissertation, University of Paris VII, Paris, France.
- Graf, J.E., Tsi, W.Y., and Jones, L, 1998, Overview of QuikSCAT mission-a quick deployment of a high resolution, wide swath scanning scatterometer for ocean wind measurement. In Proceedings IEEE Southeastcon '98' Engineering for a New Era', 314-317.
- Grieco, G., Nirchio, F., and Migliaccio, M., 2015, Application of state-of-the-art SAR X-band geophysical model functions (GMFs) for sea surface wind (SSW) speed retrieval to a data set of the Italian satellite mission COSMO-SkyMed. International Journal of Remote Sensing, 36(9), 2296-2312. https://doi.org/10.1080/01431161.2015.1034893
- Hasager, C.B., Dellwik, E., Nielsen, M., and Furevik, B.R., 2004, Validation of ERS-2 SAR offshore wind-speed maps in the North Sea. International Journal of Remote Sensing, 25(19), 3817-3841. https://doi.org/10.1080/01431160410001688286
- Hasager, C.B., Mouche, A., Badger, M., Bingol, F., Karagali, I., Driesenaar, T., Stoffelen, A., Pena, A., and Longepe, N., 2015, Offshore wind climatology based on synergetic use of Envisat ASAR, ASCAT and QuikSCAT. Remote Sensing of Environment, 156, 247-263. https://doi.org/10.1016/j.rse.2014.09.030
- Hersbach, H., 2010, Comparison of C-band scatterometer CMOD5. N equivalent neutral winds with ECMWF. Journal of Atmospheric and Oceanic Technology, 27(4), 721-736. https://doi.org/10.1175/2009JTECHO698.1
- Hersbach, H., Stoffelen, A., and De Haan, S., 2005, The improved C-band geophysical model function CMOD5. In Envisat and ERS Symposium, 572.
- Hersbach, H., Stoffelen, A., and de Haan, S., 2007, An improved C-band scatterometer ocean geophysical model function: CMOD5. Journal of Geophysical Research: Oceans, 112(C3).
- Isoguchi, O., Ishizuka, K., Tadono, T., Motohka, T., and Shimada, M., 2019, Effect of Faraday Rotation on Lband ocean normalized radar cross section and wind speed detection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
- Isoguchi, O. and Shimada, M., 2007, An L-band model function for the ocean-normalized radar cross section derived from PALSAR. In Proceeding of 1st Joint PI Symposium of ALOS Data Nodes for ALOS Science Program, 19-23.
- Isoguchi, O. and Shimada, M., 2009, An L-band ocean geophysical model function derived from PALSAR. IEEE Transactions on Geoscience and Remote Sensing, 47(7), 1925-1936. https://doi.org/10.1109/TGRS.2008.2010864
- Isoguchi, O. and Shimada, M., 2016, Detection of wind fields from PALSAR-2. In 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 Proceedings, 2209-2211.
- Jagdish, Kumar, S.A., Chakraborty, A., and Kumar, R., 2018, Validation of wind speed retrieval from RISAT-1 SAR images of the North Indian Ocean. Remote Sensing Letters, 9(5), 421-428. https://doi.org/10.1080/2150704X.2018.1430392
- James, R. J., 1989, A history of radar. IEE Review, 35(9), 343-349. https://doi.org/10.1049/ir:19890152
- Jang, J.C. and Yang, D., 2018, Validation of sea surface wind estimated from KOMPSAT-5 backscattering coefficient data. Korean Journal of Remote Sensing, 34(6-3), 1383-1398. https://doi.org/10.7780/KJRS.2018.34.6.3.6
- Jang, J.C., Park, K.A., Mouche, A.A., Chapron, B., and Lee, J.H., 2019, Validation of sea surface wind from Sentinel-1A/B SAR data in the coastal regions of the Korean Peninsula. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
- Johansson, A.M., Brekke, C., Spreen, G., and King, J.A., 2018, X-, C-, and L-band SAR signatures of newly formed sea ice in Arctic leads during winter and spring. Remote Sensing of Environment, 204, 162-180. https://doi.org/10.1016/j.rse.2017.10.032
- Katsaros, K.B. and Brown, R.A., 1991, Legacy of the Seasat mission for studies of the atmosphere and air-sea-ice interactions. Bulletin of the American Meteorological Society, 72(7), 967-982. https://doi.org/10.1175/1520-0477(1991)072<0967:LOTSMF>2.0.CO;2
- Kim, T.S., Park, K., Choi, W.M., Hong, S., Choi, B.C., Shin, I., and Kim, K.R., 2012, L-band SAR-derived sea surface wind retrieval off the east coast of Korea and error characteristics. Korean Journal of Remote Sensing, 28(5), 477-487. https://doi.org/10.7780/kjrs.2012.28.5.1
- Kim, T.S., Park, K.A., Li, X., Lee, M., Hong, S., Lyu, S.J., and Nam, S., 2015, Detection of the Hebei Spirit oil spill on SAR imagery and its temporal evolution in a coastal region of the Yellow Sea. Advances in Space Research, 56(6), 1079-1093. https://doi.org/10.1016/j.asr.2015.05.040
- Kim, T.S., Park, K.A., Li, X., Mouche, A.A., Chapron, B., and Lee, M., 2017, Observation of wind direction change on the sea surface temperature front using highresolution full polarimetric SAR data. IEEE Journal of selected topics in applied earth observations and remote sensing, 10(6), 2599-2607. https://doi.org/10.1109/JSTARS.2017.2660858
- Koch, W., 2004, Directional analysis of SAR images aiming at wind direction. IEEE Transactions on Geoscience and Remote Sensing, 42(4), 702-710. https://doi.org/10.1109/TGRS.2003.818811
- Komarov, S., Komarov, A., and Zabeline, V., 2012, Marine wind speed retrieval from RADARSAT-2 dualpolarization imagery. Canadian Journal of Remote Sensing, 37(5), 520-528. https://doi.org/10.5589/m11-063
- Lehner, S., Horstmann, J., Koch, W., and Rosenthal, W., 1998, Mesoscale wind measurements using recalibrated ERS SAR images. Journal of Geophysical Research: Oceans, 103(C4), 7847-7856. https://doi.org/10.1029/97JC02726
- Liu, G., Yang, X., Li, X., Zhang, B., Pichel, W., Li, Z., and Zhou, X., 2013, A systematic comparison of the effect of polarization ratio models on sea surface wind retrieval from C-band synthetic aperture radar. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(3), 1100-1108. https://doi.org/10.1109/JSTARS.2013.2242848
- Liu, K.S. and Chan, J.C., 1999, Size of tropical cyclones as inferred from ERS-1 and ERS-2 data. Monthly Weather Review, 127(12), 2992-3001. https://doi.org/10.1175/1520-0493(1999)127<2992:SOTCAI>2.0.CO;2
- Liu, W.T., Tang, W., and Polito, P. S., 1998, NASA scatterometer provides global ocean-surface wind fields with more structures than numerical weather prediction. Geophysical Research Letters, 25(6), 761-764. https://doi.org/10.1029/98GL00544
- Li, X., Zhang, J.A., Yang, X., Pichel, W.G., DeMaria, M., Long, D., and Li, Z., 2013, Tropical cyclone morphology from spaceborne synthetic aperture radar. Bulletin of the American Meteorological Society, 94(2), 215-230. https://doi.org/10.1175/BAMS-D-11-00211.1
- Li, X.M. and Lehner, S., 2013, Algorithm for sea surface wind retrieval from TerraSAR-X and TanDEM-X data. IEEE Transactions on Geoscience and Remote Sensing, 52(5), 2928-2939. https://doi.org/10.1109/TGRS.2013.2267780
- Mai, M., Zhang, B., Li, X., Hwang, P.A., and Zhang, J.A., 2016, Application of AMSR-E and AMSR2 low-frequency channel brightness temperature data for hurricane wind retrievals. IEEE Transactions on Geoscience and Remote Sensing, 54(8), 4501-4512. https://doi.org/10.1109/TGRS.2016.2543502
- Massonnet, D. and Souyris, J.C., 2008, Imaging with synthetic aperture radar. EPFL press.
- Merrifield, M.A. and Maltrud, M.E., 2011, Regional sea level trends due to a Pacific trade wind intensification. Geophysical Research Letters, 38(21).
- Meyer, F.J., Mahoney, A.R., Eicken, H., Denny, C.L., Druckenmiller, H.C., and Hendricks, S., 2011, Mapping arctic landfast ice extent using L-band synthetic aperture radar interferometry. Remote Sensing of Environment, 115(12), 3029-3043. https://doi.org/10.1016/j.rse.2011.06.006
- Meyer, F.J., Nicoll, J.B., and Doulgeris, A.P., 2013, Correction and characterization of radio frequency interference signatures in L-band synthetic aperture radar data. IEEE Transactions on Geoscience and Remote Sensing, 51(10), 4961-4972. https://doi.org/10.1109/TGRS.2013.2252469
- Monaldo, F.M., Thompson, D.R., Beal, R.C., Pichel, W.G., and Clemente-Colon, P., 2001, Comparison of SAR-derived wind speed with model predictions and ocean buoy measurements. IEEE Transactions on Geoscience and Remote Sensing, 39(12), 2587-2600. https://doi.org/10.1109/36.974994
- Moreira, A., Prats-Iraola, P., Younis, M., Krieger, G., Hajnsek, I., and Papathanassiou, K.P., 2013, A tutorial on synthetic aperture radar. IEEE Geoscience and Remote Sensing Magazine, 1(1), 6-43. https://doi.org/10.1109/MGRS.2013.2248301
- Mouche, A.A., Chapron, B., Zhang, B., and Husson, R., 2017, Combined co-and cross-polarized SAR measurements under extreme wind conditions. IEEE Transactions on Geoscience and Remote Sensing, 55(12), 6746-6755. https://doi.org/10.1109/TGRS.2017.2732508
- Nirchio, F. and Venafra, S., 2013, XMOD2-An improved geophysical model function to retrieve sea surface wind fields from Cosmo-Sky Med X-band data. European Journal of Remote Sensing, 46(1), 583-595. https://doi.org/10.5721/EuJRS20134634
- Oliver, C. and Quegan, S., 2004, Understanding synthetic aperture radar images. SciTech Publishing.
- Oliver, C.J., 1989, Synthetic-aperture radar imaging. Journal of Physics D: Applied Physics, 22(7), 871. https://doi.org/10.1088/0022-3727/22/7/001
- Park, K., Cornillon, P., and Codiga, D.L., 2006, Modification of surface winds near ocean fronts: Effects of Gulf Stream rings on scatterometer (QuikSCAT, NSCAT) wind observations. Journal of Geophysical Research: Oceans, 111(C3).
- Park, K., Park, J.J., Jang, J.C., Lee, J.H., Oh, S., and Lee, M., 2018, Multi-spectral ship detection using optical, hyperspectral, and microwave SAR remote sensing data in coastal regions. Sustainability, 10(11), 4064. https://doi.org/10.3390/su10114064
- Quilfen, Y., Chapron, B., Collard, F., and Vandemark, D., 2004, Relationship between ERS scatterometer measurement and integrated wind and wave parameters. Journal of Atmospheric and Oceanic Technology, 21(2), 368-373. https://doi.org/10.1175/1520-0426(2004)021<0368:RBESMA>2.0.CO;2
- Quilfen, Y., Chapron, B., Elfouhaily, T., Katsaros, K., and Tournadre, J., 1998, Observation of tropical cyclones by high-resolution scatterometry. Journal of Geophysical Research: Oceans, 103(C4), 7767-7786. https://doi.org/10.1029/97JC01911
- Rignot, E., 2008, Changes in West Antarctic ice stream dynamics observed with ALOS PALSAR data. Geophysical Research Letters, 35(12).
- Risien, C.M. and Chelton, D.B., 2008, A global climatology of surface wind and wind stress fields from eight years of QuikSCAT scatterometer data. Journal of Physical Oceanography, 38(11), 2379-2413. https://doi.org/10.1175/2008JPO3881.1
- Rodriguez, E., Gaston, R.W., Durden, S.L., Stiles, B., Spencer, M., Veilleux, L., Hughes, R., Fernadez, D.E., Chan, S., Veleva, S., and Dunbar, R.S., 2009, A scatterometer for XOVWM, the extended ocean vector winds mission. In 2009 IEEE Radar Conference, 1-4.
- Shao, W., Zhang, Z., Li, X., and Wang, W., 2016, Sea surface wind speed retrieval from TerraSAR-X HH polarization data using an improved polarization ratio model. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(11), 4991-4997. https://doi.org/10.1109/JSTARS.2016.2590475
- Shimada, M., Nakatani, H., Isono, K., and Kawada, T., 1999, Removal of the interference appeared within the SAR images. Advances in Space Research, 23(8), 1505-1508. https://doi.org/10.1016/S0273-1177(99)00304-X
- Skolnik, M.I., 1980, Introduction to radar systems. NY, New York: McGraw-Hill.
- Spreen, G., Kwok, R., and Menemenlis, D., 2011, Trends in arctic sea ice drift and role of wind forcing: 1992-2009. Geophysical Research Letters, 38(19).
- Stoffelen, A. and Anderson, D., 1997, Scatterometer data interpretation: Estimation and validation of the transfer function CMOD4. Journal of Geophysical Research: Oceans, 102(C3), 5767-5780. https://doi.org/10.1029/96JC02860
- Takeyama, Y., Ohsawa, T., Kozai, K., Hasager, C., and Badger, M., 2013, Comparison of geophysical model functions for SAR wind speed retrieval in Japanese coastal waters. Remote Sensing, 5(4), 1956-1973. https://doi.org/10.3390/rs5041956
- Tamura, T. and Ohshima, K.I., 2011, Mapping of sea ice production in the Arctic coastal polynyas. Journal of Geophysical Research: Oceans, 116(C7).
- Tang, W., Liu, W.T., and Stiles, B.W., 2004, Evaluation of high-resolution ocean surface vector winds measured by QuikSCAT scatterometer in coastal regions. IEEE Transactions on Geoscience and Remote Sensing, 42(8), 1762-1769. https://doi.org/10.1109/TGRS.2004.831685
- Thompson, D.R., Elfouhaily, T.M., and Chapron, B., 1998, Polarization ratio for microwave backscattering from the ocean surface at low to moderate incidence angles. In 1998 IEEE International Geoscience and Remote Sensing. IGARSS'98 Proceedings, 3, 1671-1673.
- Vachon, P.W. and Dobson, F.W., 2000, Wind retrieval from RADARSAT SAR images: Selection of a suitable Cband HH polarization wind retrieval model. Canadian Journal of Remote Sensing, 26(4), 306-313. https://doi.org/10.1080/07038992.2000.10874781
- Verspeek, J., Stoffelen, A., Verhoef, A., and Portabella, M., 2012, Improved ASCAT wind retrieval using NWP ocean calibration. IEEE Transactions on Geoscience and Remote Sensing, 50(7), 2488-2494. https://doi.org/10.1109/TGRS.2011.2180730
- Wakabayashi, H., Matsuoka, T., Nakamura, K., and Nishio, F., 2004, Polarimetric characteristics of sea ice in the Sea of Okhotsk observed by airborne L-band SAR. IEEE Transactions on Geoscience and Remote Sensing, 42(11), 2412-2425. https://doi.org/10.1109/TGRS.2004.836259
- Wakabayashi, H., Mori, Y., and Nakamura, K., 2013, Sea ice detection in the sea of Okhotsk using PALSAR and MODIS data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(3), 1516-1523. https://doi.org/10.1109/JSTARS.2013.2258327
- Xu, L., Zhang, H., Wang, C., Zhang, B., and Tian, S., 2016, Compact polarimetric SAR ship detection with m-a decomposition using visual attention model. Remote Sensing, 8(9), 751. https://doi.org/10.3390/rs8090751
- Yang, X., Li, X., Pichel, W.G., and Li, Z., 2011, Comparison of ocean surface winds from ENVISAT ASAR, MetOp ASCAT scatterometer, buoy measurements, and NOGAPS model. IEEE Transactions on Geoscience and Remote Sensing, 49(12), 4743-4750. https://doi.org/10.1109/TGRS.2011.2159802
- Yuan, X., Martinson, D.G., and Liu, W.T., 1999, Effect of air-sea-ice interaction on winter 1996 Southern Ocean subpolar storm distribution. Journal of Geophysical Research: Atmospheres, 104(D2), 1991-2007. https://doi.org/10.1029/98JD02719
- Zhang, B., Li, X., Perrie, W., and He, Y., 2015, Synergistic measurements of ocean winds and waves from SAR. Journal of Geophysical Research: Oceans, 120(9), 6164-6184. https://doi.org/10.1002/2015JC011052
- Zhang, B., Perrie, W., and He, Y., 2011, Wind speed retrieval from RADARSAT-2 quad-polarization images using a new polarization ratio model. Journal of Geophysical Research: Oceans, 116(C8).
- Zhang, B., Perrie, W., Vachon, P.W., Li, X., Pichel, W.G., Guo, J., and He, Y., 2012, Ocean vector winds retrieval from C-band fully polarimetric SAR measurements. IEEE Transactions on Geoscience and Remote Sensing, 50(11), 4252-4261. https://doi.org/10.1109/TGRS.2012.2194157