• Journal of Korea Fishing Vessel Association
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• v.3
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• pp.14-18
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• 1980

• Korean Journal of Remote Sensing
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• v.19 no.2
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• pp.159-169
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• 2003

This paper presents a method for automatic 3-d building reconstruction using high resolution aerial imagery. First, by using edge preserving filtering, noise is eliminated and then images are segmented by watershed algorithm, which preserves location of edge pixels. To extract line segments between control points from boundary of each region, we calculate curvature of each pixel on the boundary and then find the control points. Line segment linking is performed according to direction and length of line segments and the location of line segments is adjusted using gradient magnitudes of all pixels of the line segment. Coplanar grouping and pplygonal patch formation are performed per region by selecting 3-d line segments that are matched using epipolar geometry and flight information. The algorithm has been applied to high resolution aerial images and the results show accurate 3D building reconstruction.

• Bulletin of the Society of Naval Architects of Korea
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• v.52 no.1
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• pp.22-30
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• 2015

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.3
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• pp.197-205
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• 1992

In this paper object recognition using neural network is studied. The recognition is accomplished by matching linear line segments which are formed by local features extracted from the curvature points. Since there is similarities among segments. The boundary of models is not distinct in feature space. Due to these indistinctness the ambiguity of recognition occurs, and the recognition rate becomes degraded according to the limitation of boundary decision capability of neural network for similar of features. Object recognition and to improve recognition rate. Local features are used to represent the object effectively. The validity of the object recognition system is demonstrated by experiments for the occluded and varied objects.

• 한국지형공간정보학회:학술대회논문집
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• 2002.11a
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• pp.133-140
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• 2002

This paper presents a method for line segment grouping used for detection of various building roofs. First, by using edge preserving filtering. noise is eliminated and then images are segmented by watershed algorithm, which preserves location of edge pixels. To extract line segments between control points from boundary of each region, we calculate curvature of each pixel on the boundary and then find the control points. Line linking is performed according to direction and length of line segments and finally the location of line segments is adjusted using gradient magnitudes of all pixels of the line segment. The algorithm has been applied to aerial imagery and the results show accurate building roof detection.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.16 no.1
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• pp.23-34
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• 1991

This paper is studied for the recognition of occluded objects by fuzzy inference. The images are transformed a group of linear line segments, which is formed local features extracted from curvature points, using polygonal approximation. The features extracted from images are representes to the fuzzified data which is mapped into fuzzy concepts to represent the fuzziness, and the recognition of a model from scenes is performed by fuzzy inference using the production rulse which is generated from the model image. It is considered that the recognition results according to the change of degree of fuzziness in the experiments, and the experimental results for 30 scenes contained 120 models is obtained 92.5% of recognition rate.

• Journal of architectural history
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• v.28 no.2
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• pp.7-18
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• 2019

The Chosun Dynasty established and implemented measures to prevent Japanese invasion into the southern coast. To this end, the number of naval vessels and the number of ships were increased, and a shipyard(船所) was constructed to protect the safety of the vessels. The shipyard is a port facility where military vessels are anchored and repaired, as well as public facilities that are needed for military training on public and land, as well as facilities for storing supplies and equipment needed for ships on land and defense at the port entrance. Despite being such an important facility for national defense, Shipyard has not been noticed. Studies have shown that the position of shipyard is divided into the riverside type and the riverbank type, which is due to the topographical features of Korea. The repair cycle of naval vessels, the carrying out of Yeonhun(prevent the water from decaying the part of the ship, a raw tree was burned to smoke) and the place of sea training also affected the construction of the Gul River(掘江). The space structure of shipyard is divided into port entry facilities for monitoring and controlling at the entrance to the harbor, border facilities for folding and repairing military vessels, and land facilities for holding land exercises and administrative work of military vessels and military equipment.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.07a
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• pp.155-156
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• 2015

글로블 대형요트산업은 리먼사태 때 잠시 주춤했지만 여전히 고속성장하는 고부가가치산업으로, 이탈리아, 네덜란드 터키 등 유럽의 해양레저선진국이 거의 시장을 주도하고 있다. 우리나라의 경우 아직 대형요트를 건조한 실적은 전무하지만, 중소형조선소가 경제적 어려움을 겪는 현시점에서 국내 조선기술, 부품소재기술, ICT 등 관련기술수준을 감안한다면 진출해볼만한 신성장분야인 것은 분명하다. 이 연구에서는 메가요트 국산화 개발방안을 제시하고자 한다.

• Proceedings of the KIEE Conference
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• 1998.07g
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• pp.2225-2227
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• 1998

An efficient stereo matching method with variable matching weights is proposed. The edge segment-based stereo matching has been shown to be efficient method. The method includes 5 matching factor with different weights. The ordinary matching weights are not always adequate for every image. Employing different weight sets depending on the complexity shows better matching performance. In this paper, an evaluation criterion for complexity is suggested and the experimental results with the proposed method is shown.

• Journal of IKEEE
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• v.16 no.2
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• pp.95-101
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• 2012

A novel approach for the reconstruction of 3D building model from aerial image data is proposed in this paper. In this approach, a Centroid Neural Network (CNN) with a metric of line segments is proposed for connecting low-level linear structures. After the straight lines are extracted from an edge image using the CNN, rectangular boundaries are then found by using an edge-based grouping approach. In order to avoid producing unrealistic building models from grouping lined segments, a hierarchical grouping method is proposed in this paper. The proposed hierarchical grouping method is evaluated with a set of aerial image data in the experiment. The results show that the proposed method can be successfully applied for the reconstruction of 3D building model from satellite images.