• Proceedings of the KSRS Conference
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• 2000.04a
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• pp.91-95
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• 2000

위성영상을 이용한 해안선의 추출은 연안 지형의 변화감지의 조간대의 DEM 생성 등 지구과학적인 활용 외에도 지형도와 해도의 수정에도 활용될 수 있다. 바람이 세거나 파랑이 높을 때 돌아오는 레이다의 신호는 육지와 구별이 어렵고 또한 speckle 잡음으로 인하여 SAR를 이용한 해안선 추출은 광학자료에서 사용하는 thresholding 방법이나 간단한 edge detector 등의 방법을 적용하여 좋은 결과를 얻는데 어려움이 있다. 본 연구에서는 SAR 자료를 이용하여 빠르고 정확하게 해안선을 추출할 수 있는 ratio에 기초한 해안선 추출 방법인 MSP-PoA(Maximum Stregth Edged Pruning Ratio of Average)을 경남 낙동강 하구지역의 인공해안선에 대해 적용하여 결과를 분석하였다. 그 결과는 매우 만족할 만 하나, 육지와 해수의 점이적인 특성을 나타내는 조간대가 분포하는 전남 곰소만 지역에서는 SAR intensity의 변화가 크지 않아서 만족할 만한 결과를 얻을 수 없었다. 이러한 지역에 대해서는 SAR의 위상정보를 이용하는 interferogram의 정확도를 정량적으로 평가하는데 사용되는 coherence map을 구하여 해안선을 추출하고자 한다.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.2
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• pp.209-215
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• 2006

Shoreline changes its shapes and attribution dynamically by natural, unnatural acts and is the most information for country. These shorelines can apply to framework data of MGIS (Marine Geographic Information System), and they are getting important to implement a phase of monitoring around coastal areas. This study proposed an algorithm automatically extracting shorelines to use a new developed LiDAR (Light Detection And Ranging) data which is applying in ocean and coastal areas. Then, in result, it was compared to shorelines which is derived from ground survey. In result, it shows stable shorelines in various coast areas such as nature, artificial coast. Additionally, and a possibility of shoreline extraction through LiDAR data.

• Journal of Korean Society for Geospatial Information Science
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• v.21 no.4
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• pp.45-53
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• 2013

Global warming causes sea levels to rise and global changes apparently taking place including coastline changes. Coastline change due to sea level rise is also one of the most significant phenomena affected by global climate change. Accordingly, Coastline change detection can be utilized as an indicator of representing global climate change. Generally, Coastline change has happened mainly because of not only sea level rise but also artificial factor that is reclaimed land development by mud flat reclamation. However, Arctic coastal areas have been experienced serious change mostly due to sea level rise rather than other factors. The purposes of this study are automatic extraction of coastline and identifying change. In this study, in order to extract coastline automatically, contrast of the water and the land was maximized utilizing modified NDWI(Normalized Difference Water Index) and it made automatic extraction of coastline possibile. The imagery converted into modified NDWI were applied image processing techniques in order that appropriate threshold value can be found automatically to separate the water and land. Then the coastline was extracted through edge detection algorithm and changes were detected using extracted coastlines. Without the help of other data, automatic extraction of coastlines using LANDSAT was possible and similarity was found by comparing NLCD data as a reference data. Also, the results of the study area that is permafrost always frozen below $0^{\circ}C$ showed quantitative changes of the coastline and verified that the change was accelerated.

• Journal of the Korean Geographical Society
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• v.50 no.5
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• pp.473-483
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• 2015

In a coastal area, a plenty of research has adopted remotely sensed data. This is because longterm interaction between land and ocean makes continuous geographical changes in a broad extent and unaccessible areas. However, conventional remote sensing platforms such as satellite or airplane has several disadvantages including limited temporal resolution and high operational costs. Hence, this study uses a UAV system to detect a coastline and its movement. Result of coastline detection shows how the coastline moves in a day. Time-series coastlines were derived from UAV aerial images through digital image processing. There is a drawback in the stability of UAV compared to the conventional remote sensing platform, but the advantage appears on the economical efficiency. Since the latest studies shows an improvement of UAV for a variety of purposes in many fields, a UAV can also be utilized for regional study and spatial data acquisition platform. geography can also utilize a UAV as a spatial data acquisition platform for regional study.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.1
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• pp.147-155
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• 2015

The existing field survey and aerial photography involve the waste of manpower and economic loss in the coastline survey. To minimize these disadvantages, the digitization for efficient coastline extraction was conducted in this study using the points extracted from the standard coastline of the approximate highest high water and the diverse satellite images (KOMPSAT-3, SPOT-5, Landsat-8 and Quickbird-2), and the comparative accuracy analysis was conducted. The differences between the standard coastline points of the approximate highest high water and the coastline of each satellite were smallest for KOMPSAT-3, followed by Quickbird-2, SPOT-5 and Landsat-8. The significant probability from between the multipurpose applications satellite and Quickbird-2 (significant probability two-tailed) was statistically significant at 1% significance level. Therefore, high-resolution satellite images are required to efficiently extract the coastline, and KOMPSAT-3, from which images are easily acquired at a low cost, will enable the most efficient coastline extraction without external support.

• Korean Journal of Remote Sensing
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• v.35 no.5_1
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• pp.693-703
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• 2019

Long-term coastal topographical data is critical for analyzing temporal and spatial changes in shorelines. Especially understanding the change trends is essential for future coastal management. For this research, in the data preparation, we obtained digital aerial images, terrestrial laser scanning data and UAV images in the year of 2009. 2018 and 2019 respectively. Also tidal observation data obtained by the Korea Hydrographic and Oceanographic Agency were used for Bangamoeri beach located in Ansan, Gyeonggi-do. In the process of it, we applied the photogrammetric technique to extract the coastline of 4.40 m from the stereo images of 2009 by stereoscopic viewing. In 2018, digital elevation model was generated by using the raw data obtained from the laser scanner and the corresponding shoreline was semi-automatically extracted. In 2019, a digital elevation model was generated from the drone images to extract the coastline. Finally the change rate of shorelines was calculated using Digital Shoreline Analysis System. Also qualitative analysis was presented.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.1D
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• pp.81-88
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• 2012

This present research was carried out by dividing two parts; field surveying and data processing, in order to analyze changed patterns of a shoreline. Firstly, the shoreline information measured by the precise GPS positioning during long duration was collected. Secondly, the algorithm for detecting an auto boundary with regards to the changed shoreline with multi-image data was developed. Then, a comparative research was conducted. Haeundae beach which is one of the most famous ones in Korea was selected as a test site. RTK-GPS surveying had been performed overall eight times from September 2005 to September 2009. The filed test by aerial Lidar was conducted twice on December 2006 and March 2009 respectively. As a result estimated from both sensors, there is a slight difference. The average length of shoreline analyzed by RTK-GPS is approximately 1,364.6 m, while one from aerial Lidar is about 1,402.5 m. In this investigation, the specific algorithm for detecting the shoreline detection was developed by Visual C++ MFC (Microsoft Foundation Class). The analysis result estimated by aerial photo and satellite image was 1,391.0 m. The level of reliability was 98.1% for auto boundary detection when it compared with real surveying data.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.4D
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• pp.561-567
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• 2008

In this study, shoreline change was analyzed by RTK-GPS and advanced airborne LiDAR survey. For extraction of coastline, first of all, tide correction was conducted at all RTK-GPS points through the comparing with the corresponding tidal height, and cross section providing coastline was produced using Autocad Civil3D program. Comparing with two results of RTK-GPS (first, 29 Aug 2007; second, 6 Oct 2007) surveys, coastline of the first result had been decreased about 21m compare with that of the second. And it was also demonstrated that the length of coastline by the first RTK-GPS was 15m shorter than that by the airborne LiDAR survey (Dec. 2006). In addition, we recoquized that the erosion appeared in the top right-hand (dock area); the sediment in the bottom left-hand (Chosun beach area) of the Haeundae beach. As a result, therefore, it was learned that artificial sand filling for beach open and natural effects such as a typhoon, current drift, wind direction gave cause for area changes and coastline.

• Proceedings of the KSRS Conference
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• 2001.03a
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• pp.122-127
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• 2001

부산 광안리 해수욕장은 해빈유실 및 해안선이 감소하고 있다는 논란이 있는 장소이다. 그러므로, 본 연구에서는 과거 30여 년간에 항공사진과 해양조사원의 부산항 수위관측자료를 분석하여 광안리 해수욕장의 해안선변화에 관한 연구를 하였다. 매 3년마다 항공사진을 이용하여 정사투영과 DEM을 추출을 실시하였다. 그래서 광안리 해수욕장에 해안선변화가 발생하였는지, 어떠한 부분에 변화하였고, 변화한 면적은 얼마나 인가를 분석하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.11a
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• pp.144-146
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• 2019

과거의 해안선조사방법으로는 GNSS가 도입되면서 크게 발전하여 위성측위기를 이용한 현장조사방법과 항공기를 이용한 사진측량 방법이 조사의 주를 이루었다. 그러나, 현재 무인항공기(UAV)를 이용한 저고도 정밀조사 방법이 도입되어 무인항공기를 이용한 정밀사진측량이 가능하게 되었다. 무인항공기 정밀사진측량은 기존 조사방법과 비교시 저비용, 고정밀 성과를 취득 할 수 있다. 무인항공기 정밀사진측량은 해안선변화조사에 적용되어 무인항공기 정밀사진측량에서 취득된 고정밀 정사영상 및 수치표면모형(DSM)자료를 이용해 해안선을 추출하고 해안선변화 지역을 분석하는 자료로 활용되고 있다. 2016년도부터 우리나라 해안선변화조사 사업에 무인항공기를 이용한 조사가 실시되고 있으며 추후 여러 다방면으로 무인항공기를 이용한 다양한 조사가 이루어 질것으로 기대 된다.