• 한국정보통신학회논문지
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• 제10권4호
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• pp.706-711
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• 2006

본 연구에서는 SAR영상을 통해 해상풍 산출한 다음 해양연구원의 실시간 해양 해양기상 관측 자료와 비교 분석하여 그 정확도를 한반도 주변해역을 대상으로 파악하였다. SAR를 통해 추출된 해상풍 자료와 실측값의 RMS는 풍속은 0.8m/s, 풍향은 8도로 나타났다. 전체 적으로 실측값과 많은 차이를 보이지는 않지만 FFT 방법에 의한 SAR 영상의 바람 띠를 분석하기 위해서는 최소 10km 이상의 영상을 사용하여야만 하였다. 또한 본 연구에서는 우리나라 연안의 Radarsat SAR 영상을 이용하여 바람산출모델 CMOD5를 통해 해상풍 값을 산출하였다. CMOD5는 현재까지 산란계(Scatterometer)와 ERS SAR 위성을 이용해 해상풍을 산출할 때 가장 많이 사용되어오던 CMOD4 모델을 개선한 모델로써 특히 고풍속일 때의 결과에서 많은 개선을 보였다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.240-242
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• 2008

In the present article, we analyze airborne Pi-SAR (Polarimetric-Interferometric SAR) X-band images of ocean waves around the Miyake Island at approximately 180 km south from Tokyo, Japan. Two images of a same scene were produced at approximately 40 min. interval from two directions at right angles. One image shows dominant range travelling waves, but the other image shows a different wave pattern. This difference can be caused by the different image modulations of RCS and velocity bunching. We have estimated the dominant wavelength from the image of range waves, and from the wave phase velocity computed from the dispersion relation (though no wave height data were available), the image intensity is computed by using the velocity bunching model. The comparison of the result with the second image at right angle strongly suggests the evidence of velocity bunching.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 춘계학술대회 논문집
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• pp.176-179
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• 2008

In the present article, wave imaging mechanisms were investigated using airborne Pi-SAR (Polarimetric-Interferometric SAR) X-band VV images of ocean waves around the Miyake Island at approximately 180 km south from Tokyo, Japan. Two images of a same scene were produced at approximately 20 min. interval from two directions at right angles. One image shows dominant range travelling waves, but the other image shows a different wave pattern. This difference can be caused by the different image modulations of RCS and velocity bunching. In this study, 18 subimages are extracted, and the directional wave spectra are compared to each other of the two different areas.

• 해양환경안전학회지
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• 제13권4호
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• pp.21-26
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• 2007

인공위성영상을 이용한 해양정보 추출을 위하여 SAR 위성영상을 이용한 해수유동 정보 추출을 연구하였다. SAR(Synthetic Aperture Radar) 위성영상의 도플러 쉬프트 정보를 이용한 해수유동 정보 추출은 적용기술의 근본적 한계로 인하여 실제 유속이 아니라 위성궤도의 법선방향에 대한 유속장도만을 제시하는 문제가 있다. 이러한 한계 및 문제점을 극복하기 위하여 본 연구에서는 위성영상 촬영과 동일한 시간에 동일한 해역에서 해수유동을 관측하고, 관측된 해수유동 정보를 이용하여 위성영상에서 추출된 해수유동 정보를 보완 검증하였다. 위성영상 추출 해수유동정보의 위성궤도 법선방향 유속강도는 관측된 해수유동 유향분포도에 근거하여 실제 해수유동 유향에 맞게 보정될 수 있었으며, 보정된 해수유동 정보는 실제 해수유동 분포를 잘 반영할 수 있었다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2006년도 추계학술대회 논문집(제1권)
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• pp.187-194
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• 2006

최근 인공위성 SAR를 이용한 기술은 해풍, 파랑, 해류 등과 같은 해양에서 발생되는 다양한 현상을 관측하고 연구하는데 필수적인 기술로 대두되고 있다. CMOD4, CMOD-IFR2 모델은 해상풍의 크기를 구할 수 있으며, wave-SAR 변환 기법과 inter-look cross-spectra 기법은 파랑의 크기, 방향과 같은 물리적 값을 추출할 수 있다. 또한 Doppler shift 기법을 적용하여 해류속도를 구할 수 있다. 본 연구에서는 위의 기법들을 종합적으로 적용하여 SOP (SAR Ocean Processor) 프로세서를 개발하였다. 이 프로세서를 한반도 연안지역에 적용하여 RADARSAT-1 영상자료로부터 바람, 파랑, 해류의 물리적 정보를 추출하였으며, 이를 현장자료와 비교한 결과 신뢰할만한 결과를 얻을 수 있었다.

• 한국항해항만학회지
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• 제31권1호
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• pp.35-42
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• 2007

최근 인공위성 SAR를 이용한 기술은 해풍, 파랑, 해류 등과 같은 해양에서 발생되는 다양한 현상을 관측하고 연구하는데 필수적인 기술로 대두되고 있다. CMOD4, CMOD-IFR2 모델은 해상풍의 크기를 구할 수 있으며, wave-SAR 변환 기법과 inter-look cross-spectra 기법은 파랑의 크기, 방향과 같은 물리적 값을 추출할 수 있다. 또한 Doppler shift 기법을 적용하여 해류속도를 구할 수 있다. 본 연구에서는 위의 기법들을 종합적으로 적용하여 SOP(SAR Ocean Processor) 프로세서를 개발하였다. 이 프로세서를 한반도 연안 지역에 적용하여 RADARSAT-1 영상자료로부터 해풍, 파랑, 해류의 물리적 정보를 추출하였으며, 이를 현장 관련 자료와 비교하여 신뢰할만한 결과를 얻을 수 있었다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.320-323
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• 2008

This study attempts to establish a system extracting and monitoring cultural grounds of seaweeds (lavers, brown seaweeds and seaweed fulvescens) and abalone on the basis of both KOMPSAT-2 and Terrasar-X data. The study areas are located in the northwest and southwest coast of South Korea, famous for coastal cultural grounds. The northwest site is in a high tidal range area (on the average, 6.1 min Asan Bay) and has laver cultural grounds for the most. An semi-automatic detection system of laver facilities is described and assessed for spacebome optic images. On the other hand, the southwest cost is most famous for seaweeds. Aquaculture facilities, which cover extensive portions of this area, can be subdivided into three major groups: brown seaweeds, capsosiphon fulvescens and abalone farms. The study is based on interpretation of optic and SAR satellite data and a detailed image analysis procedure is described here. On May 25 and June 2, 2008 the TerraSAR-X radar satellite took some images of the area. SAR data are unique for mapping those farms. In case of abalone farms, the backscatters from surrounding dykes allows for recognition and separation of abalone ponds from all other water-covered surfaces. But identification of seaweeds such as laver, brown seaweeds and seaweed fulvescens depends on the dampening effect due to the presence of the facilities and is a complex task because objects that resemble seaweeds frequently occur, particularly in low wind or tidal conditions. Lastly, fusion of SAR and optic spatial images is tested to enhance the detection of aquaculture facilities by using the panchromatic image with spatial resolution 1 meter and the corresponding multi-spectral, with spatial resolution 4 meters and 4 spectrum bands, from KOMPSAT-2. The mapping accuracy achieved for farms will be estimated and discussed after field verification of preliminary results.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.429-434
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• 2002

The Synthetic Aperture Radar (SAR) data are considered to contain the greatest amount of information among various microwave techniques developed for measuring ocean variables from aircraft or satellites. They have the potential of measuring wavelength, wave direction and wave height of the ocean waves. But, it is difficult to retrieve significant ocean wave heights and surface current from conventional SAR data, since the imaging mechanism of ocean waves by a SAR is determined by the three basic modulation processes arise through the tilt modulation, hydrodynamic modulation and velocity bunching which are poorly known functions. Along-Track Interferometric (ATI) SAR systems can directly detect the Doppler shift associated with each pixel of a SAR image and have been used to estimate wave fields and surface currents. However, the Doppler shift is not simply proportional to the component of the mean surface current. It includes also contributions associated with the phase velocity of the Brags waves and orbital motions of all ocean waves that are longer than Brags waves. In this paper, we have developed a new method for extracting the surface current vector using multiple-frequency (L- & C-band) ATI SAR data, and have generated surface wave height information.

• 대한원격탐사학회지
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• 제25권3호
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• pp.243-253
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• 2009

For the last 14 years, space-borne satellite SAR system such as RADARSAT-1, ERS-2, and ENVISAT ASAR have provided a continuous observation over the ocean. However, the data acquired from those systems were limited to C-band frequency until the advent of the first spacebome German X-band SAR system TerraSAR-X in 2007. Korea is also planning to launch the nation's first X-band SAR satellite (KOMPSAT-5) in 2010. It is timely and necessary to develop X-band models for estimating geophysical parameters from these X-band SAR systems. In this study, X-band wind retrieval model was investigated and developed based on numerical ocean scattering model (radar backscattering model and hydrodynamic interaction model). Although these models have not yet been tested and validated for broad ranges of wind conditions, the estimated wind speeds from TerraSAR-X data show generally good agreement with in-situ measurements.

• 해양환경안전학회:학술대회논문집
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• 해양환경안전학회 2006년도 춘계학술발표회
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• pp.41-45
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• 2006

From the 1978 Seasat synthetic aperture radar(SAR) to present systems, spaceborne SAR has demonstrated the capability to image the Earth's ocean and land features over broad areas, day and night, and under most weather conditions. The application of SAR for surveillance of commercial fishing grounds can did in the detection of illegal fishing activities and provides more efficient use cf limited aircraft or patron craft resources. In the area of vessel traffic monitoring for commercial vessels, Vessel Traffic Service (VTS) which uses the ground-based radar system has some difficulties in detecting moving ships due to the limited detection range cf about 10 miles. This paper introduces the field testing results of ship detection by RADARSAT SAR imagery, and proposes a new approach for a Vessel Monitoring System(VMS), including VTS, and SAR combination service.