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http://dx.doi.org/10.7780/kjrs.2022.38.6.4.1

KOMPSAT Image Processing and Application  

Lee, Kwang-Jae (Satellite Application Division, Korea Aerospace Research Institute)
Kim, Ye-Seul (Satellite Application Division, Korea Aerospace Research Institute)
Chae, Sung-Ho (Satellite Application Division, Korea Aerospace Research Institute)
Oh, Kwan-Young (Satellite Application Division, Korea Aerospace Research Institute)
Lee, Sun-Gu (Satellite Application Division, Korea Aerospace Research Institute)
Publication Information
Korean Journal of Remote Sensing / v.38, no.6_4, 2022 , pp. 1871-1877 More about this Journal
Abstract
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.
Keywords
KOMPSAT; SAR; Semantic segmentation; Fusion; Classification; Deep learning; Change detection;
Citations & Related Records
Times Cited By KSCI : 18  (Citation Analysis)
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