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박준구(Park Jun Ku),조우석(Cho Woo Sug),노명종(Noh Myoung Jong),송낙현(Song Nak Hyeon),김민철(Kim Min Chul) 대한공간정보학회 2008 대한공간정보학회지 Vol.16 No.4
우리나라는 2004년 시범사업을 시작으로 현재까지 10개 지자체에서 3차원 국토공간정보를 제작완료 하였으며, 추가적으로 많은 지자체에서 구축 중에 있다. 현 3차원 국토공간정보 구축지침은 2005년 3차원 공간정보구축 시범사업의 연구결과를 기반으로 2006년 구축방법론과 관련 규정을 작성하였다. 그러나 지자체 3차원 국토공간정보 구축에 현 지침의 적용 결과, 3차원 공간정보 제작방법, 표현 정확도 등에서 많은 문제점이 대두되고 있다. 본 연구는 무결점 3차원 국토공간정보 구축을 위하여 기 수립된 구축지침의 문제점을 분석ㆍ도출하여 3차원 국토공간정보 구축항목의 재정립 및 제작방법의 표준화된 기준을 제시하는 것을 목적으로 수행하였다. 3차원 국토공간정보 개선방안은 표준화된 양질의 3차원 국토공간정보의 구축 및 활용에 기여할 수 있을 것이라 사료된다. In Korea, currently 10 local governments have completed the construction of the 3D Land Geospatial Information, since the pilot project started in 2004 and many other local governments are additionally constructing the 3D Land Geospatial Information. Technical Guidance for the 3D Land Geospatial Information has made out the construction methodology and concept of the ordinances in 2006 by the basis of the research results of the pilot project for the 3D Geospatial Information construction in 2005. But the result that applied the existing 3D Land Geospatial Information of the local governments, many problems rearing up on the methods and expression accuracy of the 3D Land Geospatial Information. This research analyzed and derived problems of established guideline for the zero-defects construction of the 3D Land Geospatial Information and it is aim at the present standardized criterion of the reestablished and method of the 3D Geospatial Information construction items. Improvement scheme of the 3D Land Geospatial Information is considered to be contribute to the standardized good quality of 3D Land Geospatial Information construction and its application.
박준구(Park, Jun Ku),노명종(Noh, Myoung-Jong),조우석(Cho, Woosug),송낙현(Song, Nakhyeon) 한국측량학회 2011 한국측량학회 학술대회자료집 Vol.2011 No.4
It has different layers of feature classification system for land to use land cover classification system or land use classification system in each institute, and therefore it is not suitable for effective land change detection. In this paper, we proposed a feature classification system to show its change of land effectively. Based on comparison and analysis of domestic and foreign relevant feature classification system, we proposed a standard feature classification system. In order to validate the applicability of the proposed feature classification systeme, we performed and analyzed human visual checking, manual screen digitizing and automatic knowledge-based hierarchical feature classification according to the proposed feature classification systeme.
임강빈,박준구,정기현,최경희,Yim, Kang-Bin,Park, Jun-Ku,Jung, Gi-Hyun,Choi, Kyung-Hee 한국정보처리학회 2004 정보처리학회논문지 C : 정보통신,정보보안 Vol.11 No.3
본 논문은 다중 프로세서(Multiprocessor) 기반 다중 쓰레드(Multithreaded) 구조의 네트워크 프로세서를 이용한 패킷 치리 시스템에서 패킷을 보다 고속으로 처리하기 위한 쓰레드 스케줄링 기법을 제안한다 이를 위하여 스케줄링과 관련한 인자를 실험을 통하여 얻고, 패킷 내용 및 다중 쓰레드 아키텍쳐를 표현하는 인자를 포함하도록 설계하였다. 시뮬레이터를 이용한 실험을 통하여 제안된 스케줄링 기법이 제공하는 처리율 및 부하 분산 정도가 다른 스케줄링 기법과 비교하여 효율적임을 증명하였다. In this paper, we propose a thread scheduling algorithm for faster packet processing on the network processors with multithreaded multiprocessor architecture. To implement the proposed algorithm. we derived several basic parameters related to the thread scheduling and included a new parameter representing the packet contents and the multithreaded architecture. Through the empirical study using a simulator, we proved the proposed scheduling algorithm provides better throughput and load balancing compared to the general thread scheduling algorithm.
노종명(Noh, Myoung-Jong),조우석(Cho, Woosuk),송낙현(Song, Nakhyeon),박준구(Park, Jun Ku) 한국측량학회 2011 한국측량학회 학술대회자료집 Vol.2011 No.4
This research proposes a similarity measure method for matching multiple images automatically using multi-image acquired by aerial digital frame cameras. Image points which are measured by the projection of an object point to the multiple images may be not indicated same pixels because of occluded area on each image having different projection center. Image shapes projected onto multiple images in same object may be different from each other because each image has a different orientation. Therefore, the similarity measure method is necessary for extracting matching points exactly using multiple images. For doing this, correlation coefficients using the gray-value correlation method on each stereo-pair are analyzed for applying the area-based image matching. In this paper, through the analysis for correlation coefficients profile generated by changing approximate height of an object point, the similarity measure method for multi-image matching was developed. The image data used in the research were taken by a DMC aerial frame camera. The over-lap and side-lap are about 80% and 60%, respectively.
조홍범 ( Hong Beom Cho ),조우석 ( Woo Sug Cho ),박준구 ( Jun Ku Park ),송낙현 ( Nak Hyun Song ) 大韓遠隔探査學會 2008 大韓遠隔探査學會誌 Vol.24 No.2
건물의 3차원 모델링은 3차원 공간정보를 구축하는데 있어서 매우 중요한 요소이다. 기존의 3차원 건물 모델링은 대부분 항공사진측량기술을 이용하여 수동으로 진행되어 많은 시간과 비용이 소요된다. 이러한 한계를 극복하기 위한 방안으로 최근에는 항공라이다(LiDAR) 데이터를 이용한 건물모델링 방법에 대한 많은 연구가 활발히 진행되고 있다. 항공라이다 데이터를 이용한 대부분의 3차원 건물모델링 연구는 보간과정을 통하여 격자구조로 변환하거나 수치지도 또는 항공영상 등의 이종 데이터간의 융합을 통하여 건물을 모델링하는 방안 등을 제시하였다. 본 논문에서는 점 데이터의 격자구조로의 변환 및 이종 데이터간의 융합 등의 방법을 배제하고 항공라이다 데이터만을 이용한 건물의 자동 모델링 방법을 제안하였다. 건물로 분류된 항공라이다 데이터를 옥트리 분할을 기반으로 3차원 공간상에서 재귀적으로 분할하여 패치(patch)를 구성하고, 동일한 속성을 갖는 패치들을 병합하여 건물의 구성요소를 추출한다. 추출되어진 건물의 구성요소를 대표하는 모델을 생성하여 전체적인 건물의 3차원 모델을 구성한다. 항공라이다 데이터를 이용하여 제안된 방법으로 실험한 결과, 다양한 형태의 건물 모델을 자동으로 구성할 수 있었다. The 3D building modeling is one of crucial components in constructing 3D geospatial information. The existing methods for 3D building modeling depend mainly on manual photogrammetric processes, which indeed take great amount of time and efforts. In recent years, many researches on 3D building modeling using aerial LiDAR data have been actively performed to aim at overcoming the limitations of existing 3D building modeling methods. Either techniques with interpolated grid data or data fusion with digital map and images have been investigated in most of existing researches on 3D building modeling with aerial LiDAR data. The paper proposed a method of 3D building modeling with LiDAR data only. Firstly, octree-based segmentation is applied recursively to LiDAR data classified as buildings in 3D space until there are no more LiDAR points to be segmented. Once octree-based segmentation is completed, each segmented patch is thereafter merged together based on its geometric spatial characteristics. Secondly, building model components are created with merged patches. Finally, a 3D building model is generated and composed with building model components. The experimental results with real LiDAR data showed that the proposed method was capable of modeling various types of 3D buildings.
노명종(Noh, Myoung-Jong),조우석(Cho, Woosuk),송낙현(Song, Nakhyeon),박준구(Park, Jun Ku) 한국측량학회 2011 한국측량학회 학술대회자료집 Vol.2011 No.4
In this paper, the multi-image matching based on the vertical line locus has been researched for generating 3D information automatically using multiple images acquired by aerial digital frame cameras. The vertical line locus is a method for finding a height in fixed 2D planimetric position in object space. Once the 2D planimetric position to find the height is selected, the approximate height of 2D planimetric position can be selected by using incremental height within the height search range. Corresponding image points which are measured by the projection of an object point to the multiple images are used for determining the optimal height. The optimal height is determined when similarity measure between the corresponding image points is maximized. For performing the vertical line locus, the height search range and incremental height in a 2D planimetric position must be determined. This paper proposes a method for determining the height search range locally using approximate digital surface model which is generated by using pyramid images. A method for determining the incremental height by expected height accuracy for a stereo model was proposed.