• 대한토목학회논문집
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• 제26권2D호
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• pp.325-333
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• 2006

현재, 대규모 지역에 대한 환경문제를 감시하는 기술로서 위성원격탐사 기술이 활발히 이용되고 있다. 이는 위성원격탐사 기술이 비교적 넓은 지역을 평가하기에 적절한 기술이기 때문이다. 그러나 최근에 들어서는 도로, 댐, 공항 등과 같은 대규모적인 토목공사 후의 녹화지대나 녹화 법면의 식생감시 등 비교적 좁은 영역을 정밀하게 조사할 수 있는 원격탐사 기법에 대한 수요가 발생되고 있다. 본 연구에서는 시판의 CCD 카메라와 새롭게 개발된 특수한 카메라 장치 등을 사용한 지상형 원격탐사 저고도 원격탐사 기술을 개발하고자 하였다. 본 연구에서 얻어진 결과는 다음과 같다. 네가지 지상형 원격탐사 장비간의 상호비교 실험에 사용된 필터의 투과 특성을 조사할 수 있었고, 식생지수를 추출하는 화상형 분광반사계로서 근적외선 디지털 카메라가 유용함을 알 수 있었다. 그리고, 식생지수의 일중 변화현상을 실험을 통해 조사할 수 있었다. 마지막으로 새롭게 개발된 지상형 원격탐사 장비를 통해 산불 발생지역에서의 식생지수의 변화현상을 조사할 수 있었다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.11-14
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• 2006

We present an overview on the observation and research for the China seas using both field experiments and multi-sensor satellite data at ORSI/OUC, covering two topics: (1) Spatial and temporal distribution of internal waves in the China Seas and retrieval of internal wave parameters; (2) Retrieval, validation, and cross-comparison of multi-sensor ocean color data as well as ocean optics in situ experiments in the East China Sea. We also present an incoherent Doppler wind lidar, developed by ORSI, and its observation for marine-atmospheric boundary layer.

• 대한원격탐사학회지
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• 제31권3호
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• pp.245-253
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• 2015

위성 영상정보의 민간 활용이 확대되면서 원격 서버에서 다중 위성 영상정보의 상호 운영과 융합처리 서비스에 대한 실제적인 필요성이 증가하고 있다. 이러한 추세에 따라 위성 영상정보에서 얻어지는 파생 정보를 위한 OGC 표준의 중요성이 강조되고 있다. 이번 연구에서는 GeoServer와 OTB와 같은 오픈소스를 기반으로 하여 WPS 표준에 대한 시험 구현을 통하여 위성정보 처리 분야에서 이러한 표준의 적용 가능성을 예시하고자 하였다. WPS 표준은 단독으로 적용될 수도 있으나 위성영상 정보처리를 포함하는 공간정보 웹 포털은 WMS, WFS, WCS와 WMTS 뿐만 아니라 카탈로그 서비스 표준 등의 요소를 같이 고려해야 한다. 앞으로 이러한 공간정보 국제표준 사양은 보다 많은 실무 적용 사례의 구축과 지속적인 관련 기술 개발을 통하여 실무적인 분석처리 기능을 제공하는 위성영상 정보시스템의 기관 간 상호운영이나 정보 콘텐츠의 효과적인 유통 체계 구축을 위한 중요한 접근 방식이 될 것으로 기대한다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.1011-1014
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• 2006

Coarse resolution (9 - 50 km pixels) Sea Surface Temperature satellite data are frequently considered adequate for open ocean research. However, coastal regions, including coral reef, estuarine and mesoscale upwelling regions require high-resolution (1-km pixel) SST data. The AVHRR SST data often suffer from navigation errors of several kilometres and still require manual navigation adjustments. The second serious problem is faulty and ineffective cloud-detection algorithms used operationally; many of these are based on radiance thresholds and moving window tests. With these methods, increasing sensitivity leads to masking of valid pixels. These errors lead to significant cold pixel biases and hamper image compositing, anomaly detection, and time-series analysis. Here, after manual navigation of over 40,000 AVHRR images, we implemented a new cloud filter that differs from other published methods. The filter first compares a pixel value with a climatological value built from the historical database, and then tests it against a time-based median value derived for that pixel from all satellite passes collected within ${\pm}3$ days. If the difference is larger than a predefined threshold, the pixel is flagged as cloud. We tested the method and compared to in situ SST from several shallow water buoys in the Florida Keys. Cloud statistics from all satellite sensors (AVHRR, MODIS) shows that a climatology filter with a $4^{\circ}C$ threshold and a median filter threshold of $2^{\circ}C$ are effective and accurate to filter clouds without masking good data. RMS difference between concurrent in situ and satellite SST data for the shallow waters (< 10 m bottom depth) is < $1^{\circ}C$, with only a small bias. The filter has been applied to the entire series of high-resolution SST data since1993 (including MODIS SST data since 2003), and a climatology is constructed to serve as the baseline to detect anomaly events.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 1999년도 Proceedings of International Symposium on Remote Sensing
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• pp.491-495
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• 1999

We compared the satellite observed temperature with the radiosonde observed temperature in the Korean Peninsula. The radiosonde observed data were obtained from four upper air observation stations in the Korean Peninsula from 1981 to 1998, and that was compared with the satellite observed data of the channel-2 and channel-4 of microwave sounding unit(MSU) on board NOAA series of polar-orbiting satellites. The radiosonde data were reconstructed into monthly radiosonde T$_{b}$ using MSU weighting function. The monthly climatology shows radiosonde T$_{b2}$ is higher than MSU T$_{b2}$ in summer. The correlation between MSU T$_{b2}$ and radiosonde T$_{b2}$ is 0.72-0.76 and 0.73-0.81 between MSU T$_{b4}$ and radiosonde T$_{b4}$.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.34-37
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• 2005

An efficient and robust neural network-based scheme is introduced in this paper to perform automatic cloud detection. Unlike many existing cloud detection schemes which use thresholding and statistical methods, we used the artificial neural network methods, the multi-layer perceptrons (MLP) with back-propagation algorithm and radial basis function (RBF) networks for cloud detection from Geostationary satellite images. We have used a simple scene (a mixed scene containing only cloud and clear sky). The main results show that the neural networks are able to handle complex atmospheric and meteorological phenomena. The experimental results show that two methods performed well, obtaining a classification accuracy reaching over 90 percent. Moreover, the RBF model is the most effective method for the cloud classification.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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• pp.529-532
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• 2004

This study aims at examining the environment of waterfronts by applying satellite remote sensing technique. In doing so we have selected Inchon International Airport, Korea as a case. As a method of the study, Normalized Difference Vegetation Index (NDVI) and land cover changes are estimated in and around Inchon International Airport. As a result of the study, we have found vegetation's change in the Airport and variation of neighborhood city by building of waterfront.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.332-335
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• 2006

Red tide(harmful algae) in the Korean Coastal Waters has a given a great damage to the fishery every year. However, the aim of our study understands the influence of meteorological factors (air and water temperature, precipitation, sunshine, solar radiation, winds) relating to the mechanism of red tide occurrence and monitors red tide by satellite remote sensing, and analyzes the potential area for red tide occurrence by GIS. The meteorological factors have directly influenced on red tide formation. Thus, We want to predict and apply to red tide formation from statistical analyses on the relationships between red tide formation and meteorological factors. In future, it should be realized the near real time monitoring for red tide by the development of remote sensing technique and the construction of integrated model by the red tide information management system (the data base of red tide - meteorological informations). Finally our purpose is support to the prediction information for the possible red tide occurrence by coastal meteorological information and contribute to reduce the red tide disaster by the prediction technique for red tide.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.72-75
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• 2008

Image segmentation techniques becoming increasingly important in the field of remote sensing image analysis in areas such as object oriented image classification. This paper presents a new method for image segmentation in High Resolution Remote Sensing Image based on Seeded Region Growing (SRG) and Edge Information. Firstly, multi-spectral edge detection was done using an entropy operator in pan-sharpened QuickBird imagery. Then, the initial seeds were automatically selected from the obtained edge map. After automatic selection of significant seeds, an initial segmentation was achieved by applying SRG. Finally the region merging process, using region adjacency graph (RAG), was carried out to get the final segmentation result. Experimental results demonstrated that the proposed method has good potential for application in the segmentation of high resolution satellite images.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.422-425
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• 2007

Traditionally, surface energy fluxes are obtained by model simulations or empirical equations with auxiliary meteorological data. These methods may not effectively represent the surface heat fluxes in a regional scale due to scene variability. On the other hand, remote sensing has the advantage to acquire data of a large area in an instantaneous view. The remotely sensed data can be further used to retrieve surface radiation and heat fluxes over a large area. In this study, the airborne and satellite images in conjunction with meteorological data and ground observations were used to estimate the surface heat fluxes over Taiwan's Chaiyi Plain. The results indicate that surface heat fluxes can be properly determined from both airborne and satellite images. The correlation coefficient of surface heat fluxes with in situ corresponding observations is over 0.60. We also observe that the remotely sensed data can efficiently provide a long term monitoring of surface heat fluxes over Taiwan's Chaiyi Plain.