• Journal of Environmental Impact Assessment
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• v.20 no.5
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• pp.717-727
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• 2011

Impervious surface affects urban climate, flood, and water pollution and has important role as basic data for urban planning and environmental and resources management uses. With a high paved rate, increased quantity of the outflown water and brings urban flooding during a heavy rain. Moreover, these non-point source pollution is getting increased the water pollution. In this regard, it is definitely important to research and keep monitoring the current situation of paved surface, which influences urban ecosystem, disaster and pollution. In this study, we suggest a method to utilize high resolution satellite image data for efficient survey on the current condition of paved surface. We analysed the paved surface condition of Dae-jeon metropolitan city area using KOMPSAT-2 image and validate its practicalness and limitation of this method.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.696-701
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• 2002

This paper describes some results of change detection in Tokyo metropolitan area, Japan , using the Landsat TM data, and methods to quantify the ground cover classes. The changes are analyzed using the measures of not only conventional spectral classes but also a set of landscape indices to describe spatial properties of ground cove types using fractal dimension of objects, entropy in the specific windows defining the neighbors of focusing locations. In order eliminate the seasonal radiometric effects on TM data, an automated class labeling method is also attempted. Urban areas are also delineated automatically by defining the boundaries of the urban area. These procedures for urban change detection were implemented by the unified image computing methods proposed by the author, they can be automated in coherent and systematic ways, and it is anticipated to automate the whole procedures. The results of this analysis suggest that Tokyo metropolitan area was extended to the suburban areas along the new transportation networks and the high density area of Tokyo were also very much extended during the period between 1985 and 1995.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.3
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• pp.354-380
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• 2010

Cities are the most important type of tourist destination across the world, and yet urban areas have neglected in most academic studies of tourism. Urban destinations serve as gateways for tourist entry to the country, as centers of accommodation and a base for excursion to rural areas as well as destinations in their own right. Increasingly cities rely on image promotion to attract tourists to cities. A city's image is the sum of beliefs, ideas, and impressions that a people have of a city. Image has always been of great interest and concern to city marketers. The image improvement is very important especially in urban tourism development because tourism overwhelmingly depends on image. The cost and effectiveness of the image improvement strategy depends on the city's current image and real attributes. Some cities are blessed with positive images. They don't require changing the image so much as amplifying it and delivering it to more target groups. Many cities are stuck with a negative image. They need to remove it and make a positive out of a negative to correct it. Image reversals, however, are difficult to accomplish. Some cities are not well known because they are small, lack attractions, or don't advertise. They need to identify, develop, and disseminate a strong positive image for the city.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.1
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• pp.227-237
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• 2019

In terms of the concept of space in urban planning and design, the modern city approaches from the perspective that all spaces are made up of different places based on identity. In this study, we analyzed disparate image by paying attention to the difference between the individual spaces that form the city. And the physical and behavioral factors that respond to the disparate spatial images are derived through legibility measurement. As a result, the urban space in Busan has disparate images such as closure, openness, dynamic + closure, dynamic + openness, quiet space. The following are the legibility factors that make each image stronger. The elements of closure are high-density and high-rise buildings, residence, work, openness appeared as a factor of water space, walking and viewing. Dynamic & Closure is the element of industrial activity, dynamic & openness is open space, water space, swimming element, quiet space image is green space, walking, stay factor.

• International Journal of Advanced Culture Technology
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• v.4 no.2
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• pp.1-6
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• 2016

Impervious surfaces are important indicators for urban development monitoring. Accurate mapping of urban impervious surfaces with observational satellites, such as VNREDSat-1, remains challenging due to the spectral diversity not captured by an individual PAN image. In this article, five multi-resolution image fusion techniques were compared for the task of classifting urban impervious surfaces. The result shows that for VNREDSat-1 dataset, UNB and Wavelet tranformation methods are the best techniques in reserving spatial and spectral information of original MS image, respectively. However, the UNB technique gives the best results when it comes to impervious surface classification, especially in the case of shadow areas included in non-impervious surface group.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.519-521
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• 2003

Within the paper an approach for the automatic extraction and reconstruction of buildings in urban built-up areas base on fusion of high-resolution satellite image and LIDAR data is presented. The presented data fusion scheme is essentially motivated by the fact that image and range data are quite complementary. Raised urban objects are first segmented from the terrain surface in the LIDAR data by making use of the spectral signature derived from satellite image, afterwards building potential regions are initially detected in a hierarchical scheme. A novel 3D building reconstruction model is also presented based on the assumption that most buildings can be approximately decomposed into polyhedral patches. With the constraints of presented building model, 3D edges are used to generate the hypothesis and follow the verification processes and a subsequent logical processing of the primitive geometric patches leads to 3D reconstruction of buildings with good details of shape. The approach is applied on the test sites and shows a good performance, an evaluation is described as well in the paper.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.988-990
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• 2003

IKONOS image mapping is being considered a possible replacement to the traditional mapping in many countries due to their ease of access to current data and their potential high resolution. Survey Department of His Majesty's Government completed traditional orthophoto mapping of all urban and semi-urban areas of the country. The 1:5000 monochrome orthophoto maps of Kathmandu Valley were completed in 2003. In 2002, as a test, production of a near natural colour Image Map at 1:5000 scale of a part of Kathmandu Valley based on IKONOS data was carried out. A conventional line map plotting of the same area at 1:5000 was also prepared. The objective of the pilot project was to assess the geometric accuracy and the information content of these maps. The details of the study and their results are underlined. The findings of the study helps to explain whether IKONOS image map can replace conventional orthophoto map at 1:5,000 for urban areas of Nepal like Kathmandu.

• Journal of the Korean Institute of Rural Architecture
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• v.14 no.2
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• pp.67-74
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• 2012

This study investigated that grasped the present state of high-rise apartment on Urban Street color, through the color image estimation effect of primary factor on color image preference. The range of study were high-rise apartment on Urban Street color of land for housing, Sangmu, Woonnam, Shinchang, Pungam, Ilgok, Moonheung district. The method of study put out a model of reference after photography a spot colorimeter BIB test. And the data analyzing was factor analysis, multi regression through Semantic Differential Method, questionnaire. The result of study, the present state of color was used predominate, support color is YR, Y, and stress color is YR, R. Predominate color showed distribution of high luminosity, low freshness and assistance, stress color is middle luminosity, low freshness. And effects of primary factor on color image preference were 'unification', 'comfortableness', 'sophistication'. The result of this study showed that need high luminosity color for comfortableness to improve of high-rise apartment on Urban Street color, harmony of color, harmony of vertical horizontality color scheme pattern, consult square rate of stress color.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.3
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• pp.173-179
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• 2015

In this paper, object-based classification of urban areas based on a combination of information from lidar and aerial images is introduced. High resolution images are frequently used in automatic classification, making use of the spectral characteristics of the features under study. However, in urban areas, pixel-based classification can be difficult since building colors differ and the shadows of buildings can obscure building segmentation. Therefore, if the boundaries of buildings can be extracted from lidar, this information could improve the accuracy of urban area classifications. In the data processing stage, lidar data and the aerial image are co-registered into the same coordinate system, and a local maxima filter is used for the building segmentation of lidar data, which are then converted into an image containing only building information. Then, multiresolution segmentation is achieved using a scale parameter, and a color and shape factor; a compactness factor and a layer weight are implemented for the classification using a class hierarchy. Results indicate that lidar can provide useful additional data when combined with high resolution images in the object-oriented hierarchical classification of urban areas.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.365-371
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• 2021

In this paper, the writer studies the lighting technology and types used in urban night lighting performance. With the continuous change and innovation of life style in today's society, the multiple functions of the city continue to develop. At present, urban night lighting is not limited to lighting the landscape in the daytime by lighting tools. It uses new digital lighting technology to deduce innovative and constantly changes digital nightscape. In this way, through the integration of urban nighttime lighting and modern digital art, the city's brand image can be improved and its economic development will also be affected. In this way, through the integration of urban nighttime lighting and modern digital art, the city's brand image can be improved and its economic development will also be affected. With the development of innovative lighting technology, urban night scene will provide more rich experience in media design.