• 지적과 국토정보
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• 제47권2호
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• pp.79-90
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• 2017

도시지역은 지구상에서 가장 변화가 활발히 일어나는 지역 중의 하나로써, 우리나라에서도 산림지나 녹지, 농경지가 주거지역, 공업지역 등의 주거지역으로 빠르게 변화하고 있다. 이러한 빠른 토지이용의 변화를 모니터링하기 위해서는 신속한 데이터의 취득을 필요로 하게 되고, 위성영상은 이러한 요구의 대안이 될 수 있다. 일반적으로 SAR 위성은 능동적 탐측체계로 영상을 취득하기 때문에 지표면의 거칠기에 따라 영상의 밝기값이 결정되며, 대표적으로 수계영역은 반사강도가 낮아 어둡게 나타나고, 인공구조물이 분포하고 있는 주거지역의 경우 반사강도가 높아 타 지역에 비해 밝기값이 높게 나타난다. 이러한 SAR 영상의 특성을 이용하면 주거지역을 효과적으로 추출할 수 있다. 본 연구에서는 고해상도 X-band SAR 위성인 독일의 TerraSAR-X, 우리나라의 KOMPSAT-5를 이용하여 주거지역의 추출을 수행하였으며, 추출을 위해서 영상분할기법을 통한 객체기반 영상분류를 적용하였다. 영상분할의 정확도를 향상시키기 위해서 스페클 divergence를 먼저 계산하여 주거지역의 반사강도를 조정하였다. 두 위성영상의 정확도 평가를 위해서 추가로 픽셀기반의 K-means 영상분류법을 적용하여 주거지역을 분류하였다. 연구의 결과로써 TerraSAR-X의 객체기반 영상분류법은 약 88.5%, 픽셀기반영상분류법은 75.9%, KOMPSAT-5는 약 87.3%와 74.4%의 overall accuracy를 보였다.

• Asia pacific journal of information systems
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• 제17권1호
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• pp.33-58
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• 2007

Quiet often, an organization tries to grapple with inconsistent and partial information to generate relevant information to support decision making and action. As such, an organization scans the environment interprets scanned data, executes actions, and learns from feedback of actions, which boils down to computational interpretations and learning in terms of machine learning, statistics, and database. The ExOM proposed in this paper is geared to facilitate such knowledge discovery found in large databases in a most flexible manner. It supports a broad range of learning and classification styles and integrates them with traditional database functions. The learning and classification components of the ExOM are tightly integrated so that learning and classification of objects is less burdensome to ordinary users. A brief sketch of a strategy as to the expressiveness of terminological language is followed by a description of prototype implementation of the learning and classification components of the ExOM.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.260-262
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• 2006

One of future remote sensing techniques for transportation application is vehicle detection from the space, which could be the basis of measuring traffic volume and recognizing traffic condition in the future. This paper introduces an approach to vehicle detection using image object segmentation approach. The object-oriented image processing is particularly beneficial to high-resolution image classification of urban area, which suffers from noisy components in general. The project site was Dae-Jeon metropolitan area and a set of true color aerial images at 10cm resolution was used for the test. Authors investigated a variety of parameters such as scale, color, and shape and produced a customized solution for vehicle detection, which is based on a knowledge-based hierarchical model in the environment of eCognition. The highest tumbling block of the vehicle detection in the given data sets was to discriminate vehicles in dark color from new black asphalt pavement. Except for the cases, the overall accuracy was over 90%.

• 인터넷정보학회논문지
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• 제9권4호
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• pp.79-84
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• 2008

정보통신환경의 빠른 변화에 따라서 정보자산의 효과적인 관리의 중요성이 강조되어지고 있다. 국내에서도 정보인프라에 대한 정보보호를 위해서 중요자산에 대한 위험분석 및 취약성 분석 강조되어지고 있다. 따라서 효과적인 자산분석을 위해 자산분류 체계화가 선행되어야 한다. 이에 따라, 본 논문에서는 기존의 연구내용들을 조사하여 자산분류를 체계화하고, 이를 토대로 객체지향 자산분류 모델을 제안한다.

• 한국해양공학회지
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• 제14권3호
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• pp.100-105
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• 2000

Port State Control (PSC) is the inspection of foreign ships in national ports for the purpose of verifying that the condition of the ships and its equipments comply with the requirement of international conventions and the ship is manned and operated in compliance with applicable international laws. On the other hand, check items in PSC are nearly similar to periodical survey of Classification Societies, because they have the same background regarding safety and maritime pollution prevention. The purpose of this study is to develope computer-aided information system for ship inspection item which is useful for effective implementation of Port State Control. For this work, the status of PSC is reviewed, and the related scheme of ship survey system in Classification Societies is investigated. On these bases, a computer software integrated database system and object-oriented technique is developed. The developed system is expected helpful to establish and maintain an effective system of Port State Control.

• 한국해양공학회:학술대회논문집
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• 한국해양공학회 2000년도 추계학술대회 논문집
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• pp.165-170
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• 2000

Port State Control (PSC) is the inspection of foreign ships in national ports for the purpose of verifying th\ulcorner the condition of the ships and its equipments comply with the requirement of international conventions and the ship is manned and operated in compliance with applicable international laws. On the other hand, check items in PSC are nearly similar to periodical survey of Classification Societies, because they have the same background regarding safety and maritime pollution prevention. The purpose of this study is to develope computer-aided information systems for ship inspection item which is useful for effective implementation of Port State Control. For this work, the status of PSC is reviewed, and the related scheme of ship survey system in Classification Societies is investigated. On these bases, a computer software integrated database system and object-oriented technique is developed. The developed system is expected helpful to establish and maintain an effective system of Port State Control.

• 대한원격탐사학회지
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• 제27권3호
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• pp.379-388
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• 2011

At present, GEOBIA (Geographic Object-based Image Analysis), heir of OBIA (Object-based Image Analysis), is regarded as an important methodology by object-oriented paradigm for remote sensing, dealing with geo-objects related to image segmentation and classification in the different view point of pixel-based processing. This also helps to directly link to GIS applications. Thus, GEOBIA software is on the booming. The main theme of this study is to look into the applicability of geo-spatial processing open source to GEOBIA. However, there is no few fully featured open source for GEOBIA which needs complicated schemes and algorithms, till It was carried out to implement a preliminary system for GEOBIA running an integrated and user-oriented environment. This work was performed by using various open sources such as OTB or PostgreSQL/PostGIS. Some points are different from the widely-used proprietary GEOBIA software. In this system, geo-objects are not file-based ones, but tightly linked with GIS layers in spatial database management system. The mean shift algorithm with parameters associated with spatial similarities or homogeneities is used for image segmentation. For classification process in this work, tree-based model of hierarchical network composing parent and child nodes is implemented by attribute join in the semi-automatic mode, unlike traditional image-based classification. Of course, this integrated GEOBIA system is on the progressing stage, and further works are necessary. It is expected that this approach helps to develop and to extend new applications such as urban mapping or change detection linked to GIS data sets using GEOBIA.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 C
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• pp.1140-1142
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• 1998

This paper presents object-oriented dynamic programing formulation of the unit commitment problem. This approach features the classification of generating units into related groups so called class. All object which share the same set of attributes and methods are grouped together in classes and designed inheritance hierarchy to minimize the number of unit combination which must be tested without precluding the optimal path. So this programming techniques will maximize the efficiency of unit commitment.

• 대한공간정보학회지
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• 제19권1호
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• pp.105-113
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• 2011

기존에 제작된 주제도는 중 저해상도 위성영상 기반으로 제작이 이루어져 위치정확도 및 표현되는 주제 정보의 정밀도가 낮다는 단점이 있다. 최근 촬영되고 있는 디지털항공사진영상은 흑백 및 컬러영역의 밴드와 산림판독이 가능한 근적외선 영역 밴드의 촬영이 가능하며, 고해상도 영상을 획득할 수 있어 정밀한 토지피복분류의 수행이 가능할 것으로 판단된다. 이에 본 논문에서는 디지털항공사진영상을 이용한 객체기반 토지피복분류 가능성 타진과 디지털항공사진영상의 활용성 제시를 위하여 동일한 지역의 GSD 0.12m급 디지털항공사진영상과 GSD 1m급 IKONOS 위성영상으로 객체기반 토지피복분류를 수행하였으며, 정사영상과 기존 중분류 토지피복도의 정성적 분석을 수행하였다. 또한, TTA(Training and Test Area) Mask를 생성하여 분류정확도를 분석하였으며, 영상을 대상으로 스크린디지타이징을 수행하여 분류면적의 비교를 통한 정확도를 분석하였다. 분석결과 디지털항공사진을 이용한 토지피복도 제작이 가능하였으며, 위성영상에 비해 세밀한 분류가 가능하였다.

• 한국멀티미디어학회논문지
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• 제25권1호
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• pp.135-143
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• 2022

In order to convert Korean folk paintings called Minhwa, a part of traditional Korean heritage, into DBs, it is necessary to design a classification system suitable for the characteristics of folk paintings. A classification system and the generating of unique codes are required to classify and save them. To realize this, a basic classification system was created by listing objects depicted in folk paintings, and keywords were extracted by reclassifying them for each object. In order to assign a unique code to each piece, we organize the English names of each Minhwa since the English names of the folk painting contain the names of objects. The code name is extracted by applying the order of nouns and consonant priority rules in English names and attaching five Arabic numerals. These codes are later assigned to each image file stored in the database and are input together with the keyword. The Minhwa DB constructed in this way enables storage and search centered on objects and keywords and the intuitive inferring of the type of object from the code name.