全极化SAR海浪参数提取和海面风场反演新方法
发布时间：2018-10-19 16:57
【摘要】：合成孔径雷达(SAR:Synthetic Aperture Radar)作为先进的遥感探测设备,可以高分辨率、全天候、全天时对海表面成像,能实现多极化、多视角、多波段对海面进行海面,并提供高精度、大范围的实时海面动态信息。同时,这种全天候、高分辨率和全天时探测海洋的优势是红外传感器以及可见光所没有的。因此,研究如何从SAR图像中获取海面风、浪信息具有重要的实用意义以及科学价值。本着发展基于SFS技术的全极化SAR海浪谱反演新方法的目的,结合数值模拟,本文从机理上对该方法的可行性进行了理论论证。这种反演海浪谱的方法已经应用在c波段全极化(HH, VV, VH and HV)RADARSAT-2卫星图像上,并和相应于区域浮标数据进行对比分析,结果显示：反演结果在波高、主波周期、主波长度以及主波方向真实可靠。随后,利用加拿大RADARSAT-2卫星全极化合成孔径雷达图像,采用C-2P0模型对海面风场进行了反演验证,并与相应浮标数据进行对比,结果满足海面风场的反演精度。基于C-2PO理论模型,本文提出了海面风场混合方法反演模型,并利用相同SAR图像对海面风场进行了反演,反演结果显示：混合方法在风速反演的稳定性以及风向反演的精确度方面均优于C-2PO模型。最后,利用50幅RADARSAT-2全极化SAR图像,并采用同一时刻同一地点National Data Buoy Center(NDBC)岸基高频雷达海流数据以及风场资料,对海流在SAR反演海面风场中的作用进行了实际验证,结果显示：在考虑海流流速的条件下,合成孔径雷达反演海面风速比未考虑海流流速时精度提高约0.2m/s；考虑海流流向的条件下比未考虑海流流向时,SAR反演海面风向精度提高约3°-4°。
[Abstract]:Synthetic Aperture Radar (SAR:Synthetic Aperture Radar), as an advanced remote sensing equipment, can image the surface of the sea at high resolution, all weather, all day. It can realize multi-polarization, multi-angle, multi-band sea surface, and provide high precision. Large range of real-time sea-level dynamic information. At the same time, the advantages of all-weather, high-resolution and all-day ocean detection are absent from infrared sensors and visible light. Therefore, it is of great practical significance and scientific value to study how to obtain sea surface wind and wave information from SAR images. For the purpose of developing a new method of wave spectrum inversion based on SFS technique for fully polarized SAR, combined with numerical simulation, the feasibility of the method is theoretically demonstrated in this paper. This method of wave spectrum inversion has been applied to c band fully polarized (HH, VV, VH and HV) RADARSAT-2 satellite images and compared with the corresponding regional buoy data. The results show that the inversion results are in wave height and main wave period. The length of the main wave and the direction of the main wave are true and reliable. Then, the wind field of the sea surface is verified by the C-2P0 model using the full polarization synthetic aperture radar image of Canada RADARSAT-2 satellite, and compared with the corresponding buoy data, the result satisfies the inversion accuracy of the sea surface wind field. Based on the C-2PO theory model, a hybrid sea surface wind field inversion model is proposed in this paper, and the same SAR image is used to inverse the sea surface wind field. The inversion results show that the hybrid method is superior to the C-2PO model in the stability of wind speed inversion and the accuracy of wind direction inversion. Finally, 50 RADARSAT-2 fully polarized SAR images are used to verify the role of the current in the retrieval of the sea surface wind field by using the National Data Buoy Center (NDBC) shore based high frequency radar current data and wind field data at the same time and at the same time. The results show that when the current velocity is taken into account, the accuracy of sea surface wind velocity inversion by synthetic Aperture Radar (SAR) is about 0.2 m / s higher than that without current velocity, and the accuracy of sea surface wind direction inversion by SAR is about 3 掳-4 掳higher than that without considering current direction.
【学位授予单位】：南京信息工程大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：P715.7;P714.2
，
本文编号：2281762
[Abstract]:Synthetic Aperture Radar (SAR:Synthetic Aperture Radar), as an advanced remote sensing equipment, can image the surface of the sea at high resolution, all weather, all day. It can realize multi-polarization, multi-angle, multi-band sea surface, and provide high precision. Large range of real-time sea-level dynamic information. At the same time, the advantages of all-weather, high-resolution and all-day ocean detection are absent from infrared sensors and visible light. Therefore, it is of great practical significance and scientific value to study how to obtain sea surface wind and wave information from SAR images. For the purpose of developing a new method of wave spectrum inversion based on SFS technique for fully polarized SAR, combined with numerical simulation, the feasibility of the method is theoretically demonstrated in this paper. This method of wave spectrum inversion has been applied to c band fully polarized (HH, VV, VH and HV) RADARSAT-2 satellite images and compared with the corresponding regional buoy data. The results show that the inversion results are in wave height and main wave period. The length of the main wave and the direction of the main wave are true and reliable. Then, the wind field of the sea surface is verified by the C-2P0 model using the full polarization synthetic aperture radar image of Canada RADARSAT-2 satellite, and compared with the corresponding buoy data, the result satisfies the inversion accuracy of the sea surface wind field. Based on the C-2PO theory model, a hybrid sea surface wind field inversion model is proposed in this paper, and the same SAR image is used to inverse the sea surface wind field. The inversion results show that the hybrid method is superior to the C-2PO model in the stability of wind speed inversion and the accuracy of wind direction inversion. Finally, 50 RADARSAT-2 fully polarized SAR images are used to verify the role of the current in the retrieval of the sea surface wind field by using the National Data Buoy Center (NDBC) shore based high frequency radar current data and wind field data at the same time and at the same time. The results show that when the current velocity is taken into account, the accuracy of sea surface wind velocity inversion by synthetic Aperture Radar (SAR) is about 0.2 m / s higher than that without current velocity, and the accuracy of sea surface wind direction inversion by SAR is about 3 掳-4 掳higher than that without considering current direction.
【学位授予单位】：南京信息工程大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：P715.7;P714.2
，
本文编号：2281762
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