• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.3
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• pp.76-88
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• 2015

This paper presents a classification method based on the combination of active learning with temporal contextual information extracted from past land-cover maps for the classification of crop cultivation areas. Iterative classification based on active learning is designed to extract reliable training data and cultivation rules from past land-cover maps are quantified as temporal contextual information to be used for not only assignment of training data but also relaxation of spectral ambiguity. To evaluate the applicability of the classification method proposed in this paper, a case study with MODIS time-series vegetation index data sets and past cropland data layers(CDLs) is carried out for the classification of corn and soybean in Illinois state, USA. Iterative classification based on active learning could reduce misclassification both between corn and soybean and between other crops and non crops. The combination of temporal contextual information also reduced the over-estimation results in major crops and led to the best classification accuracy. Thus, these case study results confirm that the proposed classification method can be effectively applied for crop cultivation areas where it is not easy to collect the sufficient number of reliable training data.

• Journal of Korean Society of Archives and Records Management
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• v.18 no.4
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• pp.99-124
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• 2018

This study suggests the development of a classification system for the Independent Movement Records of the Ministry of Patriots and Veterans Affairs based on the collection of Gonghun Digital Archive based on sources, subjects, and media types. First, the classification system by source is organized by hierarchy, and the records classified by source are classified into the second category based on the related keyword. Then, the records are classified into 17 media types. Finally, it is described in the citation order of "source-subject-media type." In addition, a meaningful collection using inductive methods based on the subject words is derived. Finally, Gonghun Digital Archive collections are categorized by media types, sources, and subjects so that users can easily find the records. The result of this study is a classification system to support records retrieval of an independent movement collection, and it will become a basis for expanding the accessibility of the user and the service of independent movement records.

• Journal of Korean Society of Archives and Records Management
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• v.24 no.2
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• pp.113-137
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• 2024

In this study, considering the National Memorial of the Korean Provisional Government as a "Larchiveum," the researchers attempted to develop a classification system that can comprehensively categorize various types of materials and propose a method of providing an online service. To this end, as a case study, the researchers examined the classification system structure and contents of the National Archives of Korea, National Assembly Archives, and Archives of Korean History of the National Institute of Korean History, which are the current material collection institutions of the Korean Provisional Government. Regarding online services, apart from the three institutions above, the Imperial War Museum and the Hoover Institution at Stanford University were also explored. Through the implications derived from the case analysis of domestic and foreign institutions, a basic hierarchical classification system by provenance for the materials held by the institution was established, and a multi-classification system was presented according to the classification criteria of "by type, by era, and by subject." In addition, methods of applying the developed classification system to online services were proposed.

• The Korean Publising Journal, Monthly
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• s.104
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• pp.4-5
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• 1992

설화의 분류체계는 논리의 명징성, 자료의 포괄성, 이용의 효율성을 두루 갖추어야 하나, 설화의 세계에는 서로 이질적인 자료들이 어지럽게 뒤섞여 있어 실제 작업에 있어서는 그중 어느 한 측면이 부실해질 위험이 크다. 그같은 위험을 피하기 위해 서교수는, 자료의 실상에 바탕을 두는 분류체계를 제시한다.

• Journal of Korean Library and Information Science Society
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• v.35 no.4
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• pp.171-191
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• 2004

This study presents revision scheme of Korean Decimal Classification appropriate for classification of children-related materials, mainly centered on social science(300) and pure science(400) occupying the majority of children-related materials in school Libraries. Towards this goal, 1 have studied the development and use of classification system for children-related materials available in domestic and overseas school libraries or children's libraries, and researched elementary school 4th, 5th, and 6th grade students' degree of understanding on classification item terms and children-related materials terms used for KDC's social science and Pure science. Based on the results of analysis, f have presented revision scheme of Korean Decimal Classification item terms and class numbers for children-related materials.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.3
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• pp.151-173
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• 2006

The purpose of this study is to make out a draft for the standard classification of the National Knowledge and Information Resources. As the result of the Study the standard classification system of the national knowledge and information resources, named "Knowledge Classification 'KC' is suggested. KC consists of 3 classification systems classification by subject, type of resources and type of media. The classification by subject has 12 main classes, and each main class has divisions. Main classes consist each of major discipline or group of related disciplines. The type of resources is classified by 10 types of content, likewise numbered 0-9, and the media of knowledge are classified by 8 types. likewise 0-7. In the Practice the notation always consists of 2 characters and 2 digits. The first character designate main class and the second character designate division. The first number designate the type of resources and the second number designate the type of media.

• Journal of the Korean Society for information Management
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• v.15 no.1
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• pp.83-108
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• 1998

Recently, information on international trade goes on increasing in quantity because of the globalism and many related areas of the field. Most of libraries and informatin centers in Korea are using Dewey Decimal Classification(DDC), Library of congress Classification(LCC), and Korean Decimal Classification(KDC) to classify library materials on the subject. The application of three classification shcemes, DDC, LCC, and KDC were queried to determine the classification of materials on international trade. And analyses of the parts of international trade in three classification shemes were done in order to identify what major changes have made with the development of the field. There was subject scatter in DDC and LCC; there was an overlap among the classes of the three systems; and there was little change between present editions and the previous editions. The revision for international trade field of the KDC, the 4t edtition was suggested to help cover some deficiencies of the classification scheme. Inorder to develop a better KDC, the 5th edition, continuous revisions based upon the opinions of subject specialists and catalogers in the field are highly recommended.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1035-1046
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• 2022

This study evaluated the applicability of multi-resolution data fusion for land-cover classification. In the applicability evaluation, a spatial time-series geostatistical deconvolution/fusion model (STGDFM) was applied as a multi-resolution data fusion model. The study area was selected as some agricultural lands in Iowa State, United States. As input data for multi-resolution data fusion, Moderate Resolution Imaging Spectroradiometer (MODIS) and Landsat satellite images were used considering the landscape of study area. Based on this, synthetic Landsat images were generated at the missing date of Landsat images by applying STGDFM. Then, land-cover classification was performed using both the acquired Landsat images and the STGDFM fusion results as input data. In particular, to evaluate the applicability of multi-resolution data fusion, two classification results using only Landsat images and using both Landsat images and fusion results were compared and evaluated. As a result, in the classification result using only Landsat images, the mixed patterns were prominent in the corn and soybean cultivation areas, which are the main land-cover type in study area. In addition, the mixed patterns between land-cover types of vegetation such as hay and grain areas and grass areas were presented to be large. On the other hand, in the classification result using both Landsat images and fusion results, these mixed patterns between land-cover types of vegetation as well as corn and soybean were greatly alleviated. Due to this, the classification accuracy was improved by about 20%p in the classification result using both Landsat images and fusion results. It was considered that the missing of the Landsat images could be compensated for by reflecting the time-series spectral information of the MODIS images in the fusion results through STGDFM. This study confirmed that multi-resolution data fusion can be effectively applied to land-cover classification.

• International Journal of Highway Engineering
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• v.12 no.4
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• pp.47-51
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• 2010

A vehicle classification data is essential for traffic road planning and pavement. In this study, the vehicle height, vehicle criteria for classification applied to measure the height of the car driving has devised a way to install equipment. It is capable of measuring the vehicle height was confirmed to field experiments, the measurement system is obtained to the vehicle length and height data. In this experiment, results showed the accuracy of 88.6% compared to classification data using the discriminant function obtained from video replaying. The height of vehicle applying the classification criteria can be utilized to determine the vehicle class.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.537-543
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• 2003

도시의 물리적 성장을 분석하기Hl 원격탐사 자료는 매우 유용한 도구를 제공한다 할 수 있다. 도시의 물리적 성장은 도시의 토지이용과 밀접하게 관련되어 있으며 지속 가능한 도시성장을 위하여서는 토지이용을 중심으로 한 성장관리가 필수적이다. 그러나 위성영상을 이용한 도시 토지이용의 분류는 우선 그 기준이 사용자의 관점에 따라 다르고 영상의 해상도 등에 따라 달리 그 기준이 정해질 수 있다. 도시의 성장 분석을 위해서는 다중시기의 위성영상 및 항공사진을 이용하여 토지이용 분류를 수행하고 시기별 토지이용 변화와 양상을 분석함으로써 성장요인을 추출하고 이를 기반으로 향후의 도시 성장을 예측할 수 있는 성장모델 개발이 가능해 진다. 따라서 본 연구에서는 도시성장 예측모델 개발의 전 단계로써 도시의 성장관리를 위해 사용되는 다양한 공간 해상도를 지닌 원격탐사 자료의 국내외 다양한 분류기준의 검토를 통해 토지이용 분류 기준을 도시 성장관리의 측면에서 설정하고자 한다.