• Proceedings of the KSRS Conference
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• 1998.09a
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• pp.122-127
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• 1998

This paper presents the neuro-fuzzy classifier derived from the generic model of a 3-layer fuzzy perceptron and developed the classification software based on the neuro-fuzzl model. Also, a comparison of the neuro-fuzzy and maximum-likelihood classifiers is presented in this paper. The Airborne Multispectral Scanner(AMS) imagery of Tae-Duk Science Complex Town were used for this comparison. The neuro-fuzzy classifier was more considerably accurate in the mixed composition area like "bare soil" , "dried grass" and "coniferous tree", however, the "cement road" and "asphalt road" classified more correctly with the maximum-likelihood classifier than the neuro-fuzzy classifier. Thus, the neuro-fuzzy model can be used to classify the mixed composition area like the natural environment of korea peninsula. From this research we conclude that the neuro-fuzzy classifier was superior in suppression of mixed pixel classification errors, and more robust to training site heterogeneity and the use of class labels for land use that are mixtures of land cover signatures.

• Forest Science and Technology
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• v.14 no.4
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• pp.181-191
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• 2018

This study was carried out in the teaching and research forest of the University of Dschang in Belabo, with the aim of analysing land-cover and land-use changes as well as carbon stocks dynamic. The databases used are composed of three Landsat satellite images (5TM of 1984, 7ETM + of 2000 and 8OLI of 2016), enhanced by field missions. Satellite images were processed using ENVI and ArcGIS software. Interview, focus group discussion methods and participatory mapping were used to identify the activities carried out by the local population. An inventory design consisting of four transects was used to measure dendrometric parameters and to identify land-use types. An estimation of carbon stocks in aboveground and underground woody biomass was made using allometric models based on non-destructive method. Dynamic of land-cover showed that the average annual rate of deforestation is 0.48%. The main activities at the base of this change are agriculture, house built-up and logging. Seven types of land-use were identified; adult secondary forests (64.10%), young secondary forests (7.54%), wetlands (7.39%), fallows (3.63%), savannahs (9.59%), cocoa farms (4.28%) and mixed crop farms (3.47%). Adult secondary forests had the highest amount of carbon ($250.75\;t\;C\;ha^{-1}$). This value has decreased by more than 60% for mixed crop farms ($94.67\;t\;C\;ha^{-1}$), showing the impact of agricultural activities on both forest cover and carbon stocks. Agroforestry systems that allow conservation and introduction of woody species should be encouraged as part of a participatory management strategy of this forest.

• Archives of design research
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• v.21
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• pp.207-217
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• 1997

Mixed Use Area (Multifaceted Integration) is getting increasingly demanded since it has several merits such as preventing CBD from being emptied during night time, making daily life comfortable and utilizing the land more efficiently. However, the characteristic of Mixed Use Area -as advantages of it-, which is that it combines residence, retail, office, cultural, entertainment facilities altogether could be regarded as a weakness when it is viewed from each functions' original purposes such as residential and retail areas'. Accordingly, it is needed to do basic research and develop design guidelines of the Mixed Use Area to prepare its another take-off. The purpose of this research is to study theoretical background of Mixed Use Area's birth, understand its status quo by examining examples overseas and presented possible standardized ways of developing it.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.335-340
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• 2005

In many urban cities, mixed-use development is becoming increasingly essential for the creation of an attractive and sustainable environment that promotes economic vitality, social equity and environmental quality. Due to the differences in scale, scope and intent, certain aspects within the project delivery process of mixed-use are not the same as "conventional" single-use projects. The objective of this paper is to highlight these aspects. Two cases in Southeast Asia serve to illustrate the uniqueness and challenges of mixed-use. In conclusion, the differences between mixed-use and single-use are evident in terms of the diversity of team members, the necessity of multiple market analyses, and a multi-layer (versus single-source) financing structure. Finally, issues concerning ownership tangles, land assembly, planning and application procedures, investment criteria of institutions have been identified as major pitfalls.

• Journal of the Korean housing association
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• v.25 no.6
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• pp.19-26
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• 2014

This study aims to derive street design alternative which can be applied to residential area as the functions of land use have been changed. The main findings are as follows; First, the study area in this research is on the process of the functional transition from full residential use to residential-commercial mixed use with cafes and restaurants. Second, dead-end streets in residential areas needs to be widened in order to meet the increasing needs of pedestrians and cars. One of the suggested strategies is to remove fences on the dead-end streets. Third, based on the main findings, this research can suggest following policies. Citizen participation is necessary in building land use plans and space design in old residential areas. Citizens can participate in architectural and landscape contracts, district-unit plan with the help of experts such as urban planners and architects.

• Land and Housing Review
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• v.15 no.3
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• pp.61-77
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• 2024

This study analyzed the characteristics of land use changes around urban railway stations in peri-urban mixed-use cities. The research focused on four station areas along the Gyeonggang Line in Gwangju City, Gyeonggi Province, categorized into three phases based on their opening dates to analyze land use changes. The analysis method utilized building permit registry data from 2012 to 2020 within a 1 km radius of each station, at 250-meter intervals, examining temporal, spatial, and functional distributions. Statistical analysis employed SPSS for weighted cross-tabulation to explore differences in building permits and concentration levels among various building types. The findings revealed: firstly, peri-urban mixed-use city station areas exhibited the highest number of building permits at the time of opening; secondly, significant land use changes were observed within the 500-meter radius from the station; thirdly, residential buildings dominated, reflecting a trend towards housing supply-oriented land use changes; fourthly, cross-tabulation indicated significant differences in building permits across time, distance, and type (p < 0.01). Lastly, the concentration analysis revealed that residential buildings were distributed most evenly, while buildings for educational, social, and agricultural and fisheries purposes were distributed unevenly.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.426-428
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• 2003

Optical and microwave remote sensing data have been widely used in land cover and land use classification. Thanks to the spectral absorption characteristics of ground object in visible and near infrared region, optical data enables to extract different land cover types according to their material composition like water body, vegetation cover or bare land. On the other hand, microwave sensor receives backscatter radiance which contains information on surface roughness, object density and their 3-D structure that are very important complementary information to interpret land use and land cover. Separate use of these data have brought many successful results in practice. However, the accuracy of the land use / land cover established by this methodology still has some problems. One of the way to improve accuracy of the land use / land cover classification is just combination of both optical and microwave data in analysis. In this paper for the research, the author used LANDSAT TM scene 127/45 acquired on October 21, 1992, JERS-1 SAR scene 119/265 acquired on October 27, 1992 and aerial photographs taken on October 21, 1992. The study area has been selected in Hanoi City and surrounding area, Vietnam. This is a flat agricultural area with various land use types as water rice, secondary crops like maize, cassava, vegetables cultivation as cucumber, tomato etc. mixed with human settlement and some manufacture facilities as brick and ceramic factories. The use of only optical or microwave data could result in misclassification among some land use features as settlement and vegetables cultivation using frame stages. By combination of multitemporal JERS-1 SAR and TM data these errors have been eliminated so that accuracy of the final land use / land cover map has been improved. The paper describes a methodology for data combination and presents results achieved by the proposed approach.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2008.04a
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• pp.245-250
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• 2008

The city means not only a geographical area as a role of the spatial boundary, but also a socio-economic place to communicate with each part. It requires various functions to get the income and activities. But city has a limitation of a available land to provide the required function and a sufficient space to supply the activity. Therefore, the development trend of city has not been to spread to the horizontal area any more and considered the vertical area. In addition, various functions put into a massive building because many people want to solve the daily requirements without spending time and cost. In this paper, it aimed at classifying the mixed-use building into function, circulation, relation between the public and private space and the building shape to provide the design information according to the development constraints such as land area, functional limitation, accessibility, etc. The classification of the mixed-use buildings is divided into four areas. The data are collected with foreign countries in Japan, Europe and US.

• Land and Housing Review
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• v.3 no.1
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• pp.1-14
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• 2012

Since the provision of Permanent Affordable Housing in the early 1990's, it is confronted with the need to strengthen its welfare service due to aging of its facilities and the declining welfare system for its tenants. In addition, the aging population of tenants is on the rise, increasing the group of tenants that are in need of care. The local social community center has entered into the community of permanent affordable housing and takes partial responsibility in the tenant's social welfare. However, social community center is mainly responsible for providing welfare service to its local residents and thus limited in its ability to satisfy welfare service to tenants of permanent affordable housing. Therefore, it is required to renew the existing welfare system to better suit social demands of tenants according to its specific social group and the characteristics of housing complex. This study aims to propose methods that can strengthen welfare service and analyze the characteristics of welfare service by investigating the existing conditions of welfare system for the tenants in permanent affordable housing complex. For this purpose, this study presents with categories of service standards, by breaking down and codifying welfare service and propose applicable mixed-use service in pre-existing permanent affordable housing.

• Korean Journal of Remote Sensing
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• v.24 no.5
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• pp.507-515
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• 2008

Many studies have generally used a large number of pure pixels as an approach to training set design. The training set are used, however, varies between classifiers. In the recent research, it was reported that small mixed pixels between classes are actually more useful than larger pure pixels of each class in Support Vector Machine (SVM) classification. We evaluated a usability of small mixed pixels as a training set for the classification of high-resolution satellite imagery. We presented an advanced approach to obtain a mixed pixel readily, and evaluated the appropriateness with the land cover classification from IKONOS satellite imagery. The results showed that the accuracy of the classification based on small mixed pixels is nearly identical to the accuracy of the classification based on large pure pixels. However, it also showed a limitation that small mixed pixels used may provide insufficient information to separate the classes. Small mixed pixels of the class border region provide cost-effective training sets, but its use with other pixels must be considered in use of high-resolution satellite imagery or relatively complex land cover situations.