• KIPS Transactions on Software and Data Engineering
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• v.10 no.8
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• pp.311-318
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• 2021

Research has been ongoing to detect ships from offshore photographs for a variety of reasons, including maritime security, identifying international trends, and social scientific research. Due to the development of artificial intelligence, R-CNN models for object detection in photographs and images have emerged, and the performance of object detection has risen dramatically. Ship detection in offshore photographs using the R-CNN model has also begun to apply to satellite photography. However, satellite images project large areas, so various objects such as vehicles, landforms, and buildings are sometimes recognized as ships. In this paper, we propose a novel methodology to improve the performance of ship detection in satellite photographs using R-CNN series models. We separate land and sea via marker-based watershed algorithm and perform morphology operations to specify RoI one more time, then detect vessels using R-CNN family models on specific RoI to reduce typology. Using this method, we could reduce the misdetection rate by 80% compared to using only the Fast R-CNN.

• Korean Journal of Remote Sensing
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• v.27 no.5
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• pp.587-599
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• 2011

As one measure of image interpretability, NIIRS(National Imagery Interpretability Rating Scale) has been used. Unlike MTF(Modulation Transfer Function), SNR(Signal to Noise Ratio), and GSD(Ground Sampling Distance), NIIRS can describe the quality of overall image at user's perspective. NIIRS is observed with human observation directly or estimated by edge analysis. For edge analysis specially manufactured artificial target is used commonly. This target, formed with a tarp of black and white patterns, is deployed on the ground and imaged by the satellite. Due to this, the artificial target-based method needs a big expense and can not be performed often. In this paper, we propose a new edge analysis method that enables to estimate NIIRS accurately. In this method, natural targets available in the image are used and characteristics of the target are considered. For assessment of the algorithm, various experiments were carried out. The results showed that our algorithm can be used as an alternative to the artificial target-based method.

• Bulletin of the Korean Space Science Society
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• 2004.04a
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• pp.45-45
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• 2004

현재 개발 중인 저궤도 소형인공위성 발사체, KSLV (Korea Space Launch Vehicle)에 최초로 실리게 되는 ‘발사체 검증위성, KoDSat’ (KSLV Demonstration Satellite)은 발사과정 중에 위성체가 겪게 되는 진동 및 음향레벨 크기를 측정하여 지상국으로 전송하게 된다. 또한 위성체 내부에 설치한 카메라를 이용하여 발사체에서 분리되는 과정을 촬영하여 지상으로 동영상 데이터를 전송하게 된다. 열제어계의 목적은 어떠한 임무기간 동안에도 위성체의 모든 요소들이 각각의 허용 온도범위 내에서 유지되도록 하는데 있다. (중략)

• 한국방재학회:학술대회논문집
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• 2011.02a
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• pp.170-170
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• 2011

토지피복은 지표면의 물리적 상태 및 사용 용도에 따른 특성을 나타내는 기본적인 정보로 농업, 환경, 재해, 수자원 등 다양한 분야에서 이용되고 있다. 식생활동으로 인해 생기는 증산과 토양에서 일어나는 증발을 증발산이라 통칭하며, 이의 정확한 산정은 수리, 수문학적 유역 분석에 중요하다. 정확한 증발산의 산정을 위해서는 기압, 온도 등 기상 인자의 역할이 중요하지만 토지피복 특성 역시 증발산에 큰 영향을 주므로 중요한 요소 중 하나이다. 이는 인간의 활동에 의해 점차적으로 빠르게 변화하는 추세이므로 인공위성 영상을 이용하여 효율적인 정보의 취합 및 관리가 필수적이다. 따라서 본 연구에서는 Landsat 5 TM(Thematic Mapper) 영상을 기반으로 무감독 분류법을 이용하여 ISODATA Training과 Masking기법을 사용하여 한강 유역의 토지피복도를 산정하였다. 본 연구에서는 연구 대상 지역의 영상을 사용하였고, 토지의 분류는 수역, 시가, 나지, 습지, 초지, 산림, 농지의 7가지로 분류하였다. 그 결과 우리나라의 대다수를 이루는 수역, 시가, 산림, 농지에 대한 높은 정확도를 갖는 토지피복도를 얻을 수 있었으며, 이는 군사경계 외부의 지역도 포함된 결과이다. 단, 나지와 습지, 초지 부분의 정확도는 비교적 떨어지나, 우리나라의 토지특성상 많은 비율을 차지하고 있지 않으므로 신뢰할 만한 결과라 할 수 있겠다. 이 결과와 외부 자료를 이용하여 보다 향상된 토지피복도를 만들 수 있을 것이다. 이를 토대로 군사지역 등 접근이 어려운 지역의 토지피복 현황을 파악하여 정확한 증발산 산정에 도움이 되고자 한다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.15 no.2
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• pp.231-236
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• 1997

Observation for hot water spread has been carried out by such activites as sampling of water with ship, etc, until now It was required further to have new probe methodologies in such issues as simultaneity, great-spheric nature, and economics due to many hindering ele- ments such as spread speed of hot waste water, weather conditions, cost and expenses, scope and location determinations. However, it was believed that satellite could be utilized to monitor spread of water temperature and spread level in more quick and correct way than existing one, because it would be possible to supervise and detect marine environment within significantly short period if analyzed by means of satellite images. Therefore, this study is taken into account to flow and spread conditions of hot waste water, survey of water temperature, by means of satellite images.

• Aerospace Engineering and Technology
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• v.5 no.2
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• pp.90-101
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• 2006

In this paper, the calibration parameters of the gyros and star hackers are estimated by using an on-orbit AOCS sensor calibration algorithm. The calibration algorithm was implemented by Kalman filter. In order to estimate gyro calibration parameters, the calibration algorithm requires calibration maneuver and it was analyzed whether the star trackers are protected by Sun, Moon and Earth or not. Also the star tracker calibration algorithm used the camera image information. This kinds of camera image information simulated ground control point and orbit information. The estimated accuracy of star tracker calibration parameters depends on camera image information.

• Journal of the Korean Society for Marine Environment & Energy
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• v.9 no.3
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• pp.168-175
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• 2006

The cultural grounds of lave r have been surveyed using SPOT-5 satellite images. The facilities of laver cultivation area in the coastal waters of Korea were calculated. 10 m resolution multispectral images of SPOT-5 are adopted for the southern are a of Jebu Island, Hwaseong city to develop an automatic detection approach of laver nets that consists of the following: band difference technique, canny edge detector and morphological analysis: The number of satellite-based facilities was relatively high as compared with the licensed number in 2005, 676,749 chaek and 572,745 chaek(柵, unit of measure for laver farm), respectively. The ratio of a law abiding facility was very low at 52.9%. These data could be applied to control its national production keeping a stable market price for the government body.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.2
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• pp.31-43
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• 2005

Four time points of the fractional area data during the 15 years of the highest group of land surface temperature and the lowest group of NDVl of the Kunsan city Chollabuk_do, Korea located beneath the Yellow sea coast, are observed and analyzed their correlations for the intention to detect the changes of urban land cover. As long as the effective contributions of satellite images in the continuous monitoring of the wide area for wide range of time period, Landsat-5 TM and Landsat-7 ETM+ artificial satellite images, acquisited over the Kunsan city area, are surveyed by the compared calibration after quantization and classification of the deviations between TM and ETM+ images substituted approved error correction thresholds such as gains and biases or offsets. This experiment and research applied Landsat-5 TM and Landsat-7 ETM+ artificial satellite images in change detection of urban land cover in urbanized Kunsan city, then detected strong and proportional correlation relationship between the highest group of land surface temperature and the lowest group of NDVI which exceeded R=(+)0.9478, so the proposed Correlation Analysis Model between the highest group of land surface temperature and the lowest group of NDVI will be able to give proof an effective suitability to the land city change detection monitoring.

• Journal of Astronomy and Space Sciences
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• v.26 no.1
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• pp.111-126
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• 2009

We used an optical observation system with a 0.6m wide-field telescope and 5 computers system in KASI (Korean Astronomy and Space Science Institute) for satellite optical observation. Optical data have errors that are caused by targeting, expose start time and end-point determination. Gauss method for initial orbit determination was tested using angle-only data simulated by KODAS. And suitable time span is confirmed for result which has minimum errors. Initial orbit determination results are proved that optical observation system in KASI is possible satellite tracking for a short period. And also through differential correction, initial orbit determination results are improved.

• Journal of Korean Society for Geospatial Information Science
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• v.20 no.2
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• pp.109-117
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• 2012

Recently, large-scale multi-hazards have been occurred in the various areas of the world. A variety of Earth observation sensors such as satellite EO, aerial and terrestrial LiDAR have been utilized for global natural disaster monitoring. Especially, commercial satellites which observe the Earth regularly and repeatedly, and acquire images with cm-level high spatial resolution enable its applications to extend in the fields of disaster management from advanced disaster monitoring to timely recovery. However, due to existing satellite operation systems with some limitations in almost real-time and wide regional disaster response, close international collaborations between satellite operating organizations like NASA, JAXA, KARI etc. have been required for collecting satellite images in time through a satellite platform with multi-sensors or satellite constellation. For responding domestic natural disaster such as heavy snowfall and extreme rainfall in 2011, this paper proposes a disaster management system for timely decision-making; rapid acquisition of satellite imagery, data processing, GIS analysis, and digital mapping through cooperation with NDMI in Korea and International Charter-Space and Major disasters.