全極化SAR海浪參數(shù)提取和海面風(fēng)場(chǎng)反演新方法
發(fā)布時(shí)間:2018-10-19 16:57
【摘要】:合成孔徑雷達(dá)(SAR:Synthetic Aperture Radar)作為先進(jìn)的遙感探測(cè)設(shè)備,可以高分辨率、全天候、全天時(shí)對(duì)海表面成像,能實(shí)現(xiàn)多極化、多視角、多波段對(duì)海面進(jìn)行海面,并提供高精度、大范圍的實(shí)時(shí)海面動(dòng)態(tài)信息。同時(shí),這種全天候、高分辨率和全天時(shí)探測(cè)海洋的優(yōu)勢(shì)是紅外傳感器以及可見(jiàn)光所沒(méi)有的。因此,研究如何從SAR圖像中獲取海面風(fēng)、浪信息具有重要的實(shí)用意義以及科學(xué)價(jià)值。本著發(fā)展基于SFS技術(shù)的全極化SAR海浪譜反演新方法的目的,結(jié)合數(shù)值模擬,本文從機(jī)理上對(duì)該方法的可行性進(jìn)行了理論論證。這種反演海浪譜的方法已經(jīng)應(yīng)用在c波段全極化(HH, VV, VH and HV)RADARSAT-2衛(wèi)星圖像上,并和相應(yīng)于區(qū)域浮標(biāo)數(shù)據(jù)進(jìn)行對(duì)比分析,結(jié)果顯示:反演結(jié)果在波高、主波周期、主波長(zhǎng)度以及主波方向真實(shí)可靠。隨后,利用加拿大RADARSAT-2衛(wèi)星全極化合成孔徑雷達(dá)圖像,采用C-2P0模型對(duì)海面風(fēng)場(chǎng)進(jìn)行了反演驗(yàn)證,并與相應(yīng)浮標(biāo)數(shù)據(jù)進(jìn)行對(duì)比,結(jié)果滿足海面風(fēng)場(chǎng)的反演精度;贑-2PO理論模型,本文提出了海面風(fēng)場(chǎng)混合方法反演模型,并利用相同SAR圖像對(duì)海面風(fēng)場(chǎng)進(jìn)行了反演,反演結(jié)果顯示:混合方法在風(fēng)速反演的穩(wěn)定性以及風(fēng)向反演的精確度方面均優(yōu)于C-2PO模型。最后,利用50幅RADARSAT-2全極化SAR圖像,并采用同一時(shí)刻同一地點(diǎn)National Data Buoy Center(NDBC)岸基高頻雷達(dá)海流數(shù)據(jù)以及風(fēng)場(chǎng)資料,對(duì)海流在SAR反演海面風(fēng)場(chǎng)中的作用進(jìn)行了實(shí)際驗(yàn)證,結(jié)果顯示:在考慮海流流速的條件下,合成孔徑雷達(dá)反演海面風(fēng)速比未考慮海流流速時(shí)精度提高約0.2m/s;考慮海流流向的條件下比未考慮海流流向時(shí),SAR反演海面風(fēng)向精度提高約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 擄-4 擄higher than that without considering current direction.
【學(xué)位授予單位】:南京信息工程大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類(lèi)號(hào)】:P715.7;P714.2
,
本文編號(hào):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 擄-4 擄higher than that without considering current direction.
【學(xué)位授予單位】:南京信息工程大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類(lèi)號(hào)】:P715.7;P714.2
,
本文編號(hào):2281762
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