• Korean Journal of Remote Sensing
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• v.38 no.6_4
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• pp.1871-1877
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• 2022

In the past, satellite development required enormous budget and time, so only some developed countries possessed satellites. However, with the recent emergence of low-budget satellites such as micro-satellites, many countries around the world are participating in satellite development. Low-orbit and geostationary-orbit satellites are used in various fields such as environment and weather monitoring, precise change detection, and disasters. Recently, it has been actively used for monitoring through deep learning-based object-of-interest detection. Until now, Korea has developed satellites for national demand according to the space development plan, and the satellite image obtained through this is used for various purpose in the public and private sectors. Interest in satellite image is continuously increasing in Korea, and various contests are being held to discover ideas for satellite image application and promote technology development. In this special issue, we would like to introduce the topics that participated in the recently held 2022 Satellite Information Application Contest and research on the processing and utilization of KOMPSAT image data.

• Journal of Korean Tunnelling and Underground Space Association
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• v.25 no.6
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• pp.555-567
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• 2023

The cracks in the tunnel are currently determined through visual inspections conducted by inspectors based on images acquired using tunnel imaging acquisition systems. This labor-intensive approach, relying on inspectors, has inherent limitations as it is subject to their subjective judgments. Recently research efforts have actively explored the use of deep learning to automatically detect tunnel cracks. However, most studies utilize public datasets or lack sufficient objectivity in the analysis process, making it challenging to apply them effectively in practical operations. In this study, we selected test datasets consisting of images in the same format as those obtained from the actual inspection system to perform an objective evaluation of deep learning models. Additionally, we introduced ensemble techniques to complement the strengths and weaknesses of the deep learning models, thereby improving the accuracy of crack detection. As a result, we achieved high recall rates of 80%, 88%, and 89% for cracks with sizes of 0.2 mm, 0.3 mm, and 0.5 mm, respectively, in the test images. In addition, the crack detection result of deep learning included numerous cracks that the inspector could not find. if cracks are detected with sufficient accuracy in a more objective evaluation by selecting images from other tunnels that were not used in this study, it is judged that deep learning will be able to be introduced to facility safety inspection.

• Journal of Agricultural Extension & Community Development
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• v.20 no.4
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• pp.1045-1078
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• 2013

The purpose of the present study is to improve the effectiveness of Korea's ODA projects on agricultural technology transfer to Africa. This study investigates agricultural extension system of African countries and provides a direction of the systematic strategies of the Korean ODAs on agricultural technology. This study pays particular attention on Africanization of agricultural technology transfer of the Korean ODA strategies. Unlike the previous studies focusing mainly on micro level investigation on the ODA strategy development, the present study incorporates the agricultural technology dissemination system of Ethiopia and Uganda in a macro perspective to develop a desirable form of the ODA strategy. The findings illustrate that the technology dissemination systems of the case countries have different characteristics depending on the function and organization of extension agency. And their functional capability and role segmentation by the extension agency are differently configured, too. In case of Ethiopia, top-down structure for the agricultural extension system has been built. Farmers' group and field agent of the information delivery system has expanded their participation into the system. However, we also find that the system of Ethiopia still lacks effective use of its existing technology, since it puts more emphasis on management aspects than improvement of agricultural productivity for farmers. On the other hand, even though Uganda has established participatory extension system that encompasses the entire agencies of the extension system, government efforts to enhance the extension system are still concentrated on expanding research functions rather than technical dissemination. The results imply that promoting and strengthening localization of the ODA strategy has to be developed to make localization policy of the Korean ODA. The present study concludes with some specific policy implications for necessary conditions of the agricultural development in African countries.