• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.27-36
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• 2016

Houses have usually been planned for those who are in good physical condition rather than with disabilities. Therefore, it is difficult to provide a high quality residential environment for people with disabilities. To live in their own houses continuously, it is essential to renovate their houses where they have been living. This study focuses on removing the barrier factors from houses by analyzing the characteristics of disability types and purpose of each space. Therefore, this study divides a house into 5 sectors: an accessible path; an entrance hall; a corridor; a living room; and a bedroom to remove the barrier factors from each sector according to the analysis above. As a result, the sectors that show high frequency and importance of renovation should be considered as a top priority for renovation.

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.4
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• pp.76-91
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• 2016

The purpose of this study is to analyze the effects of spatial characteristics, such as land cover and topography, on heat wave days from the city of Milyang, which has recently drawn attention for its heat wave problems. The number of heat wave days was calculated utilizing RCP-based South Korea climate data from 2000 to 2010. Land cover types were reclassified into urban area, agricultural area, forest area, water, and grassland using 2000, 2005, and 2010 land cover data constructed by the Ministry of Environment. Topographical features were analyzed by topographic position index (TPI) using a digital elevation model (DEM) with 30 m spatial resolution. The results show that the number of heat wave days was 31.4 days in 2000, which was the highest, followed by 26.9 days in 2008, 24.2 days in 2001, and 24.0 days in 2010. The heat wave distribution was relatively higher in agricultural areas, valleys, and rural areas. The topography of Milyang contains more mountainous slope (51.6%) than flat (19.7%), while large-scale valleys (12.2%) are distributed across some of the western region. Correlation analysis between heat wave and spatial characteristics showed that the correlation between forest area land cover and number of heat wave days was negative (-0.109), indicating that heat wave can be mitigated. Topographically, flat areas and heat wave showed a positive correlation (0.305). These results provide important insights for urban planning and environmental management for understanding the impact of land development and topographic change on heat wave.

• Korean Journal of Remote Sensing
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• v.33 no.6_2
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• pp.1061-1073
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• 2017

In this study, images were classified using convolutional neural network (CNN) - a deep learning technique - to investigate the feasibility of information production through a combination of artificial intelligence and spatial data. CNN determines kernel attributes based on a classification criterion and extracts information from feature maps to classify each pixel. In this study, a CNN network was constructed to classify materials with similar spectral characteristics and attribute information; this is difficult to achieve by conventional image processing techniques. A Compact Airborne Spectrographic Imager(CASI) and an Airborne Imaging Spectrometer for Application (AISA) were used on the following three study sites to test this method: Site 1, Site 2, and Site 3. Site 1 and Site 2 were agricultural lands covered in various crops,such as potato, onion, and rice. Site 3 included different buildings,such as single and joint residential facilities. Results indicated that the classification of crop species at Site 1 and Site 2 using this method yielded accuracies of 96% and 99%, respectively. At Site 3, the designation of buildings according to their purpose yielded an accuracy of 96%. Using a combination of existing land cover maps and spatial data, we propose a thematic environmental map that provides seasonal crop types and facilitates the creation of a land cover map.

• Journal of Korean Society for Geospatial Information Science
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• v.23 no.4
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• pp.25-33
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• 2015

The study of ecosystem assessment(ES) is based on land cover information, and primarily it is performed at the global scale. However, these results as data for decision making have a limitation at the aspects of range and scale to solve the regional issue. Although the Ministry of Environment provides available land cover data at the regional scale, it is also restricted in use due to the intrinsic limitation of on screen digitizing method and temporal and spatial difference. This study of objective is to generate UAV land cover map. In order to classify the imagery, we have performed resampling at 5m resolution using UAV imagery. The results of object-based image segmentation showed that scale 20 and merge 34 were the optimum weight values for UAV imagery. In the case of RapidEye imagery;we found that the weight values;scale 30 and merge 30 were the most appropriate at the level of land cover classes for sub-category. We generated land cover imagery using example-based classification method and analyzed the accuracy using stratified random sampling. The results show that the overall accuracies of RapidEye and UAV classification imagery are each 90% and 91%.

• Spatial Information Research
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• v.11 no.2
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• pp.101-117
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• 2003

High resolution satellite image analysis has been recognized as an effective technique for monitoring local land-cover and atmospheric changes. In this study, a new high resolution map for land-cover was generated using both high-resolution IKONOS image and conventional land-use mapping. Fuzzy classification method was applied to classify land-cover, with minimum operator used as a tool for joint membership functions. In separateness analysis, the values were not great for all bands due to discrepancies in spectral reflectance by seasonal variation. The land-cover map generated in this study revealed that conifer forests and farm land in the ground and tidal flat and beach in the ocean were highly changeable. The kappa coefficient was 0.94% and the overall accuracy of classification was 95.0%, thus suggesting a overall high classification accuracy. Accuracy of classification in each class was generally over 90%, whereas low classification accuracy was obtained for classes of mixed forest, river and reservoir. This may be a result of the changes in classification, e.g. reclassification of paddy field as water area after water storage or mixed use of several classification class due to similar spectral patterns. Seasonal factors should be considered to achieve higher accuracy in classification class. In conclusion, firstly, IKONOS image are used to generated a new improved high resolution land-cover map. Secondly, IKONOS image could serve as useful complementary data for decision making when combined with GIS spatial data to produce land-use map.

• Korean Journal of Remote Sensing
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• v.38 no.5_1
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• pp.461-469
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• 2022

This paper presents a novel training data extraction approach using semi-supervised learning (SSL)-based classification without the analyst intervention for time-series land-cover mapping. The SSL-based approach first performs initial classification using initial training data obtained from past images including land-cover characteristics similar to the image to be classified. Reliable training data from the initial classification result are then extracted from SSL-based iterative classification using classification uncertainty information and class labels of neighboring pixels as constraints. The potential of the SSL-based training data extraction approach was evaluated from a classification experiment using unmanned aerial vehicle images in croplands. The use of new training data automatically extracted by the proposed SSL approach could significantly alleviate the misclassification in the initial classification result. In particular, isolated pixels were substantially reduced by considering spatial contextual information from adjacent pixels. Consequently, the classification accuracy of the proposed approach was similar to that of classification using manually extracted training data. These results indicate that the SSL-based iterative classification presented in this study could be effectively applied to automatically extract reliable training data for time-series land-cover mapping.

• Journal of Advanced Marine Engineering and Technology
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• v.37 no.2
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• pp.213-219
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• 2013

Recently, with the rapid advancement in information and communication technology, indoor location-based services(LBSs) that require precise position tracking have been actively studied with outdoor-LBS using GPS. However, in case of a ship which consists of steel structure, it is difficult to measure a precise localization due to significant ranging error by the diffraction and refraction of radio waves. In order to reduce location measurement errors that occur in these indoor environments, this paper presents distance compensation algorithms that are suitable for a narrow passage such as ship corridors without any additional sensors by using UWB(Ultra-wide-band), which is robust to multi-path and has an error in the range of a few centimeters in free space. These improvement methods are that Pythagorean theory and adjacent node technique are used to solve the distance error due to the node deployment and distance variation analysis technique is applied to reduce the ranging errors which are significantly fluctuated in the corner section. The experimental results show that the number of nodes and the distance error are reduced to 66% and 57.41%, respectively, compared with conventional CSS(Chirp spread spectrum) method.

• Korean Journal of Heritage: History & Science
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• v.46 no.1
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• pp.32-75
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• 2013

도성은 왕권이 존재하는 것뿐만 아니라 왕권을 지지하는 지배계층이 모여 거주하는 곳이다. 그리고 중앙집권적 통일지배를 실현하기 위한 정치 의례의 장으로서 전근대 동아시아 세계에 공통적으로 건설되었다. 그 기원은 중국에서 유래하며, 일본은 율령제(律令制)를 바탕으로 하는 천황제 고대국가가 실현되는 7세기 말 '藤原京(후지와라쿄)'에서 처음으로 지상에 출현한다. 7세기 말부터 거의 1세기 간 복도제(複都制)가 채택되었기에 '등원경(藤原京)' 이후 도성은 여러 곳에 건설되었고, 때로는 천도되었다. 그러나 8세기 말 '長岡京(나가오카쿄)'에서는 복도제(複都制)를 지양했고, '平安京(헤이안쿄)'에 도읍을 정한 이후, 중세 근세를 거쳐 근대에 이르기까지 헤이안쿄-교토에는 1100년에 걸쳐 왕권이 지속적으로 존재하여 지금의 '京都市'(교토시)에 이르게 된다. '등원경(藤原京)'가 고대 일본 최초의 도성이었다면, '평안경(平安京)'는 마지막 도성임과 동시에 중세 도시로 변모해 가는 전환점에 위치하고 있다. '등원경(藤原京)'이래 남북축선에 대한 선대칭 구조를 의식해 도성이 축조 되었고, '평안경(平安京)'에서는 이러한 구조가 가장 강하게 표현되었지만, 9세기 초 천황과 관인들의 의식 정무의 동선이나 좌석 배치에 있어서 동서방향이 채용되게 되었고, 이에 더해 9세기 말에는 천황의 거소가 도성의 축선에서 벗어나게 된다. 또한 10세기 중반 경 '平安宮(헤이안큐)'에서는 '內裏(다이리)'를 중심으로 한 잦은 화재가 발생해 천황은 궁외로 거소를 옮기게 되었다. 이후 천황이 궁 바깥에 거주하는 것이 일반화 되었고, '평안궁(平安宮)'는 의식을 행하는 장소로서 한정적으로 유지 수리가 될 뿐이었으나 결국에는 그것마저 어려워져 폐쇄에 이르게 된다. 한편 귀족의 저택도 7세기 이래의 남북축선에 대해서 동서의 선대칭 구조로 부터, '寢殿造(신덴즈쿠리)'라고 불리는 건물배치도 공간구성도 비대칭인 건물양식이 주류를 이루어 갔다. 이상과 같이 일본의 고대 도성의 특징을 잘 가지고 있었던 최후의 도성 '평안경(平安京)'는 남북을 축선으로 하는 선대칭 구조가 가장 뚜렷하게 나타났으나, 9세기 '평안궁(平安宮)'의 변화를 시작으로 11~12세기에 크게 변모해갔다. 이처럼 고대국가의 도성이 가지고 있었던 남북을 축으로 하는 구조를 버리고 동서방향으로 동선을 취한 움직임은 고대국가의 이념을 탈피하여 다음 시대로 전환하는 중요한 한 걸음이었다고 생각된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.2419-2427
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• 2014

This paper defines the hydro-geomorphological river area to estimate the change of the river function before/after levee construction, and proposes the methodology that calculates the river area by using GIS. The boundary of river area is determined by the 100-year potential flood inundation area without the levee effect of the flood protection. Firstly, 1918' land-use map was digitized and the changes were analyzed by comparing with 2007' digitized map. The result shows that urban/farmland zone in Mankyung river area were increased by 0.4%/11.6% and bare ground was decreased by 10.0% so that the effective use of floodplain due to levee construction leaded to better productivity, but the decrease of the environment function of the river was predicted as result of the reduction of the river area.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.3
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• pp.27-32
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• 2007

3D based information is demanded increasingly as cities grow three dimensionally and buildings become large and complex. The use of 3D GIS is also getting attention as fundamental data for ubiquitous computing applications such as location-based guidance, path finding and emergency escaping. However, most 3D modeling techniques are focused on the visualization of buildings or terrains and do not have topological structures required in spatial analyses. In this paper, we introduce a method to incorporate topological relationship into 3D models by combining 2D GIS layers and 3D model. We divide indoor spaces of a 3D model into discrete objects and then define the relationship with corresponding features in 2D GIS layers through database records. We also show how to construct hallways network in the 2D-3D integrated building model. Finally, we test different cases of route finding situations inside a building such as normal origin-destination path finding and emergency evacuation.