• Spatial Information Research
• /
• v.16 no.3
• /
• pp.373-383
• /
• 2008

LiDAR, unlike satellite imagery and aerial photographs, which provides irregularly distributed three-dimensional coordinates of ground surface, enables three-dimensional modeling. In this study, urban area was classified based on 3D information collected by LiDAR. Morphological and spatial properties are determined by the ratio of ground and non-ground point that are estimated with the number of ground reflected point data of LiDAR raw data. With this information, the residential and forest area could be classified in terms of height and density of trees. The intensity of the signal is distinguished by a statistical method, Jenk's Natural Break. Vegetative area (high or low density) and non-vegetative area (high or low density) are classified with reflective ratio of ground surface.

• Journal of Korean Society of Rural Planning
• /
• v.11 no.2 s.27
• /
• pp.21-34
• /
• 2005

The objective of this study is to suggest a planning direction for the management and conservation of a rural landscape. For suggesting the planning direction, this study was classified rural landscape resources based on spatial type to understand the assessment of rural landscape. This study examined literature reviews and site investigations for collecting the data on the resources of a rural landscape to maintain rurality. First above all, it was classified into physical and non-physical resources. Non-Physical resources include elements such as inhabitants' will, leaders' will and the software. It is also to reflect all these factors on the planning. Next, this study classified the resources of a landscape into artificial and natural resources and applied these resources to rural areas which were divided into five types: industry area, life area, natural landscape area, program area and human behavior area. The pictures obtained from this field survey were used for a questionnaire survey to understand the value of a rural landscape. The contents of questionnaire survey were divided into two parts: the presentation condition of a rural land-scape and assessment of a rural landscape. Especially, the value of a rural landscape was divided into the ecological value, socio-cultural value and holistic value.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.10 no.3
• /
• pp.77-85
• /
• 1990

This report is a study concerning the classification of the surface cover data applying the data of LANDSAT TM (Thematic Mapper). The purpose of this study was to reduce the cost of use for LANDSAT data and increase the accuracy of land cover classification. Especially, a using mehtod adopted in this paper was a unique optical method using OHP(Over Head Projector). It was found that a unique optical method can have significant effects upon the responses according to the present results in this study.

• KIEAE Journal
• /
• v.12 no.1
• /
• pp.3-10
• /
• 2012

Recently, the increase of impervious area has been pointed out as a major cause of climate change and biotop area deterioration]. Therefore, quantitative indicators for environmental housing design and planning have been needed especially to control the impervious area. The Biotop Area Ratio(BAR) as the mostly applied environmental planning control instrument in Korea verifying the possibility of utilizing has been used effectively in various aspects. However, the fact that the space types are based on two dimension and ecological functions of spaces are simplified has shown the limitations of this planning instrument in the use as planning and evaluation indicator. In this study, classification criteria and the weighting of the space types in similar indicators Biotopflaechenfaktor (BFF, Berlin), Seattle Green Factor (SGF, Seattle), and Green Area Factor (GAF, Malmo) were analyzed. These indicators are similar in the sense that they apply weights to calculate the area and express a percentage of land area. The findings are as follows: The basic method that can estimate the vegetation volume is proposed to overcome the limitation of the BAR. It also was proven that the introduction of three-dimensional volume rate of biotops area was possible. Finally, the framework of space type classification criteria is proposed through linkages with relevant laws and regulations. With the improvement of the space types, the BAR is expected to be reasonable indicator in outdoor space evaluation in housing project.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.10
• /
• pp.3955-3971
• /
• 2020

Due to the significant increase in the use of autonomous car technology, it is essential to integrate this technology with high-precision digital map data containing more precise and accurate roadway information, as compared to existing conventional map resources, to ensure the safety of self-driving operations. While existing map technologies may assist vehicles in identifying their locations via Global Positioning System, it is however difficult to update the environmental changes of roadways in these maps. Roadway vision algorithms can be useful for building autonomous vehicles that can avoid accidents and detect real-time location changes. We incorporate a hybrid architectural design that combines unsupervised classification of vision data with supervised joint fusion classification to achieve a better noise-resistant algorithm. We identify, via a deep learning approach, an intelligent hybrid fusion algorithm for fusing multimodal vision feature data for roadway classifications and characterize its improvement in accuracy over unsupervised identifications using image processing and supervised vision classifiers. We analyzed over 93,000 vision frame data collected from a test vehicle in real roadways. The performance indicators of the proposed hybrid fusion algorithm are successfully evaluated for the generation of roadway digital maps for autonomous vehicles, with a recall of 0.94, precision of 0.96, and accuracy of 0.92.

• Journal of Environmental Impact Assessment
• /
• v.22 no.1
• /
• pp.65-78
• /
• 2013

Since pursuing the pleasant life for people, there is an increase of desire to appreciate outstanding scenery with the difference in certain level for perception and understanding of human on landscaping, However, the quality of landscaping has become artificial with the pleasance to be declining due to the urbanization. This study was applied at the site around High One Resort area in Gohan-eup, Jeongseon-gun Gangwon-do for analyzing the areas sensitive to the landscaping change as well as degree of requirement for landscape management for forest landscape management with the focus on presenting the zoning method and the management class classification method. Even if the forest is the same, the function of it is different depending on land use or what resource is placed that the forestry function is found out to present the management plan for each forestry function in the subject site and the result of the management grade classification is analyzed in overlapping to the forestry function level. As a result, from the landscaping management requirement and visual absorption analysis, the result formulated for upper, middle and lower zones to classify the final forestry landscape management degree into 1-4 grades and the management plan is presented on the respective 1-4 grade area for each forestry function. By applying the technique to set the management grade, it was possible to formulate the result to provide the means for integrated management in consideration of the forestry function and management of forestry landscape and resources.

• Journal of Cadastre & Land InformatiX
• /
• v.45 no.1
• /
• pp.225-240
• /
• 2015

The effect of passing pedestrians'characteristics on locational goodwill was empirically modeled and tested. The theoretical basis for the study was central place theory, bid rent and, agglomeration theory, and demand externality theory. The data included information on goodwill, retail rents and passing pedestrians' characteristics in 100 retail trade areas in Seoul. The empirical model was tested with the sample of 1,307 retail units in Seoul, South Korea. The data set was analyzed with the Classification and Regression Tree software. As the results, using the regression tree method, the variables does affect locational goodwill in the each retail trade area were the volume of pedestrians around 2:00 pm on weekdays, volume of pedestrians around 4:00 pm on weekdays, and volume of pedestrians around 8:00 pm on weekdays. In summary, not only the economic base in the retail trade area but also the volume of passing pedestrians should be considered to determine the locational goodwill.

• Fashion & Textile Research Journal
• /
• v.7 no.5
• /
• pp.535-541
• /
• 2005

The health of feet is connected with individual's health and affects a man's activity. Shoes need to be designed to protect feet and to absorb the impact of land. In order to choose suitable shoes for feet, the foot size and shape must be considered, so it is essential to grasp the exact size and shape of the foot. This study aims to present fundamental data on shoes' easy order prototype development for choosing shoes of good wearing comfort, by classifying feet size and shape junior high school boys in the early adolescent period. The subject were 234 Korean junior high school boys age from 14 to 16 years old. The subjects were directly measured anthropometrically and indirectly analyzed photographically. 6 factors were extracted through factor analysis and those factors comprised 79.42% of total variance. The factors characterizing foot girth and width, foot length, foot height, foot shape around the fifth toes, angle of foot breadth and foot shape around the first toes. 3 clusters as their foot shape were categorized using 6 factor scores by cluster analysis. Type 1 was characterized by long large foot with deformed first toe. Type 2 had smaller in foot girth, width and length than other types and with deformed fifth toe. Type 3 had average size and high foot shape. Shoes prototype which is to be developed later on will be able to generate 2D flattening in the foot sole form. Therefore, it would be a great support in producing and choosing appropriate shoes if forms are classified by subdividing foot form classification and extract a factor which shows only the foot sole shape.

• Fashion & Textile Research Journal
• /
• v.9 no.3
• /
• pp.319-326
• /
• 2007

The health of feet is connected with individual's health and affects a man's activity. Shoes need to be designed to protect feet and to absorb the impact of land. In order to choose suitable shoes for feet, the foot size and shape must be considered, so it is essential to grasp the exact size and shape of the foot. This study aims to present fundamental data on shoes' easy order prototype development for choosing shoes of good wearing comfort, by classifying feet size and shape junior high school boys in the early adolescent period. The subject were 217 Korean junior high school girls in age from 14 to 16 years old. The subjects were directly measured anthropometrically and indirectly analyzed photographically. 7 factors were extracted through factor analysis and those factors comprised 78.59% of total variance. The factors were characterized foot length, foot girth and width, foot shape around the fifth toes, foot shape around the first toes, angle of foot breadth, foot height, and foot length of upper foot. 3 clusters as their foot shape were categorized using 7 factor scores by cluster analysis. Type 1 had smaller in foot girth, width and length than other types and with deformed fifth toe. Type 2 had average size and high foot shape. Type 3 was characterized by long large foot with deformed first toe. The results would be a great support in producing and choosing appropriate shoes if forms are classified by subdividing foot form classification and extract a factor which shows only the foot sole shape.

• Journal of the Korean Society of Environmental Restoration Technology
• /
• v.23 no.4
• /
• pp.13-30
• /
• 2020

This study aims to analyze the qualitative and quantitative effects of environmental policies in terms of green space management using logistic regression model(LRM). Landsat satellite imageries in 1985, 1992, 2000, 2008, and 2015 are classified using a hybrid-classification method. Based on these classified maps, logistic regression model having a deforestation tendency of the past is built. Binary green space change map is used for the dependent variable and four explanatory variables are used: distance from green space, distance from settlements, elevation, and slope. The green space map of 2008 and 2015 is predicted using the constructed model. The conservation effect of Ulsan's environmental policies is quantified through the numerical comparison of green area between the predicted and real data. Time-series analysis of green space showed that restoration and destruction of green space are highly related to human activities rather than natural land transition. The effect of green space management policy was spatially-explicit and brought a significant increase in green space. Furthermore, as a result of quantitative analysis, Ulsan's environmental policy had effects of conserving and restoring 111.75㎢ and 175.45㎢ respectively for the periods of eight and fifteen years. Among four variables, slope was the most determinant factor that accounts for the destruction of green space in the city. This study presents logistic regression model as a way of evaluating the effect of environmental policies that have been practiced in the city. It has its significance in that it allows us a comprehensive understanding of the effect by considering every direct and indirect effect from other domains, such as air and water, on green space. We conclude discussing practicability of implementing environmental policy in terms of green space management with the focus on a non-statutory plan.