• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1371-1388
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• 2023

Floods are becoming more severe and frequent due to global warming-induced climate change. Water disasters are rising in Korea due to severe rainfall and wet seasons. This makes preventive climate change measures and efficient water catastrophe responses crucial, and synthetic aperture radar satellite imagery can help. This research created 1,423 water body learning datasets for individual water body regions along the Han and Nakdong waterways to reflect domestic water body properties discovered by Sentinel-1 satellite radar imagery. We created a document with exact data annotation criteria for many situations. After the dataset was processed, U-Net, a deep learning model, analyzed water body detection results. The results from applying the learned model to water body locations not involved in the learning process were studied to validate soil water body monitoring on a national scale. The analysis showed that the created water body area detected water bodies accurately (F1-Score: 0.987, Intersection over Union [IoU]: 0.955). Other domestic water body regions not used for training and evaluation showed similar accuracy (F1-Score: 0.941, IoU: 0.89). Both outcomes showed that the computer accurately spotted water bodies in most areas, however tiny streams and gloomy areas had problems. This work should improve water resource change and disaster damage surveillance. Future studies will likely include more water body attribute datasets. Such databases could help manage and monitor water bodies nationwide and shed light on misclassified regions.

• The Korean Journal of Air & Space Law and Policy
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• v.6
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• pp.267-283
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• 1994

Application of space technology in the field of communication and remote sensing becomes increasingly important in human life. Advancement of communications means shinks the size of our globe and that of remote sensing techniques improves the quality of human well-being. It is a world trent for each country to make its best effort in advancing its capabilities in these fields sometimes independently and other times jointly with other nations. Korea being no exception to this world trend is planning various starategies in application and development of space technologies. However, unfortunately, Korea is a new commer in this field. Statellite Technology Research Center (SaTReC) of Korea Advanced Institute of Science and Technology (KAIST) initiated to aquire satellite technology by sending its graduates abroad in 1989. As a result KITSAT-1 was launched in 1992 and KITSAT- 2 was launched in 1993 and they became Korea's first two satellites in orbits. Academic program including On-the Job-Training for Korean students at the University of Surrey, UK, is also an innovative scheme of mixing education and practical know-how for successful technology transfer, which resulted in a small but very capable and effective satellite experts group in Korea for self-propelled research and development in space activities. In this context, space development strategy should be considered in terms of the following factors; (1). Participation in international space activities as an active member to utilize international organization and to contribute to the peaceful use of space, (2). Development of national defence structure for independent activities in space, (3). Enhancement of manpower utilization for space development and promotion of national pride and (4). Education of youngsters for the extension of intellectual activities into the limitless space. In order to make very costly space development project most efficient, governmental level space development organization directed by the head of nation should be established and should manage all space development programs making full use of its all available resources including the advantage of the university based R&D capability.

• Korean Journal of Remote Sensing
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• v.27 no.6
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• pp.637-651
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• 2011

This study presents a rule-based urban image classification method for time series analysis of changes in the vicinity of Asan-si and Cheonan-si in Chungcheongnam-do, using Landsat satellite images (1991-2006). The area has been highly developed through the relocation of industrial facilities, land development, construction of a high-speed railroad, and an extension of the subway. To determine the yearly changing pattern of the urban area, eleven classes were made depending on the trend of development. An algorithm was generalized for the rules to be applied as an unsupervised classification, without the need of training area. The analysis results show that the urban zone of the research area has increased by about 1.53 times, and each correlation graph confirmed the distribution of the Built Up Index (BUI) values for each class. To evaluate the rule-based classification, coverage and accuracy were assessed. When Optimal allowable factor=0.36, the coverage of the rule was 98.4%, and for the test using ground data from 1991 to 2006, overall accuracy was 99.49%. It was confirmed that the method suggested to determine the maximum allowable factor correlates to the accuracy test results using ground data. Among the multiple images, available data was used as best as possible and classification accuracy could be improved since optimal classification to suit objectives was possible. The rule-based urban image classification method is expected to be applied to time series image analyses such as thematic mapping for urban development, urban development, and monitoring of environmental changes.

• Korean Journal of Remote Sensing
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• v.29 no.3
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• pp.331-335
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• 2013

This study detected red tide areas using the existing Moderate-Resolution Imaging Spectroradiometer(MODIS) and Geostationary Ocean Color Imager(GOCI), and then compared the results between results of two sensors. The coasts of Jeollanam-do in the South Sea of Korea were set as the study area based on the red tide data which occurred on Aug. 26th, 2012. This study compared the results of sensors to detect red tides by using a satellite. In the results of analyzing MODIS by limiting it as chlorophyll concentration and the sea surface temperature which is considered to have red tides by the existing researches, it was possible to delete considerable amount of errors compared to the case of detecting red tides by using only chlorophyll while still there were differences from the range of red tides actually observed. In the results of GOCI by using empirical algorithm for detecting red tides, currently used by Korea Institute of Ocean Science & Technology(KIOST), it was possible to obtain more detailed results than MODIS. However, there was an area misjudged as red tides due to the influence of clouds. Also both MODIS and GOCI extracted red tides were not actually occurring, which might be because they were not able to perfectly distinguish red tides from turbid water in coastal areas with high turbidity.

• Korean Journal of Remote Sensing
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• v.36 no.5_4
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• pp.1167-1177
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• 2020

In this study, we established the process for collecting and utilizing video scripts of disaster site based on public-private partnerships. It is for the purpose of actively utilizing private capabilities in disaster management, and quickly sharing video scripts to identify field conditions. Based on the experience of actual operation of public-private partnerships system in the event of typhoon in 2019, we also derived implications for continuous operation of the process. Results are meaningful in that the government established the process for collecting and utilizing video scripts through public-private partnerships during the initial disaster response phase. And we also confirmed the possibility of spreading positive perception of disaster management organizations. However, there is a limit to the actualization and practical use of performance as an experimental pilot operation in the R&D stage. In addition, for continuous operation of the system, it is necessary to prepare institutional support measures such as organization, infrastructure for operating, programs of education and training, and policy making.

• Korean Journal of Remote Sensing
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• v.30 no.2
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• pp.207-218
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• 2014

The information on the land cover along stream corridor is important for stream restoration and maintenance activities. This study aims to review the different classification methods for mapping the status of stream corridors in Seom River using airborne RGB and CIR digital ortho imagery with a ground pixel resolution of 0.2m. The maximum likelihood classification, minimum distance classification, parallelepiped classification, mahalanobis distance classification algorithms were performed with regard to the improvement methods, the skewed data for training classifiers and filtering technique. From these results follows that, in aerial image classification, Maximum likelihood classification gave results the highest classification accuracy and the CIR image showed comparatively high precision.

• Journal of Service Research and Studies
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• v.4 no.2
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• pp.57-67
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• 2014

Because telemedicine is also the medical care, it is limited by law to allow medical personnel only physician because there would cause a risk to health and hygiene. Since the work dealing with the life and honor the human body involving a small mistake, it may be difficult to recover the damages can be recovered even if the telemedicine. Therefore, systematically it is to allow remote medical care only proven national healthcare only clinical practice starting with basic medical medicine, and received training as a systematic study of the body and life of humans. The patient information could get far away in the distance to provide medical information and professional advice to the remote system, even if you can not be reached due to several issues such as the number of differences that occur in time. We Mentioned various opinions on regulatory issues and information gathered for the development of the medical industry in this respect.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.12
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• pp.164-170
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• 2012

A Virtual Reality Modeling Language (VRML) database access in remote virtual reality control platform for dyeing enterprise $MiWi^{TM}$ thermal sensor network is presented in this paper. The VRML-ASP framework is introduced for 3D real-time data plotting in this application. The activities of thermal sensor nodes and sensor area are analyzed. The database access framework is optimized for $MiWi^{TM}$ wireless sensor networks. The experimental results show that VRML-ASP database access framework could be a reliable and competitive data-manage candidate for targeted virtual reality remote industrial visualization application.

• Korean Journal of Remote Sensing
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• v.36 no.5_2
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• pp.961-973
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• 2020

In this manuscript, a new pansharpening model based on Convolutional Neural Network (CNN) was developed. Dilated convolution, which is one of the representative convolution technologies in CNN, was applied to the model by making it deep and complex to improve the performance of the deep learning architecture. Based on the dilated convolution, the residual network is used to enhance the efficiency of training process. In addition, we consider the spatial correlation coefficient in the loss function with traditional L1 norm. We experimented with Dilated Residual Networks (DRNet), which is applied to the structure using only a panchromatic (PAN) image and using both a PAN and multispectral (MS) image. In the experiments using KOMPSAT-3A, DRNet using both a PAN and MS image tended to overfit the spectral characteristics, and DRNet using only a PAN image showed a spatial resolution improvement over existing CNN-based models.

• Journal of Korean Library and Information Science Society
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• v.23
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• pp.1-27
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• 1995

The purpose of this study is twofold: to investigate into general characteristics of the networks in Korea as a new information technology and to discuss general directions of development of the use of the Internet. This study is designed to achieve the purpose by gathering and analysing data related to the use of Internet of librarians those who work in public libraries and research and development libraries and university libraries. The major conclusions made in this study is summarized as follows. (1) From this survey, received detailed response from 69 librarians, the majority (42) from research and development libraries. The majority (56) were from Library and Information Science subject area, half of them (37) hold advanced degrees. (2) Majority (40) have accessed Internet for one year or less, 9(17%) respondents for two years, 17(32%) spend every day Internet related activity. (3) 44.9% of the respondents taught themselves. 28.9% learned informally from a colleague. Formal training from a single one-hour class to more structured learning was available to 30.4%. (4) The most common reason respondents use the Internet are to access remote database searching(73.9%), to communicate with colleagues and friends and electronic mail(52.2%), to transfer files and data exchange(36.2%), to know the current research front(23.2%). They search OPACs for a variety of traditional task-related reasons(59.4%) and to see what other libraries are doing with their automated systems(31.9%). (5) Respondents for the most part use the functions : WWW (68. 1%), E-Mail(59.4%), FTP(52.2%), Gopher(34.8%), Wais(7.2%). (6) Respondents mentioned the following advantages : access to remote log-in database, an excellent and swift communications vehicle, reduced telecommunication cost, saving time. (7) Respondents mentioned the following disadvantages : low speed of communication, difficult of access to the relevant information and library materials, and shortage of database be distributed within Korea.