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국토관측위성영상 처리 및 활용기술 연구개발 현황
Current Research and Development Status for CAS 500-1/2 Image Processing and Utilization Technology 원문보기

대한원격탐사학회지 = Korean journal of remote sensing, v.36 no.5 pt.2, 2020년, pp.861 - 866  

김태정 (인하대학교 공간정보공학과)

초록
AI-Helper 아이콘AI-Helper

2021년에 발사예정인 국토관측위성의 처리와 활용을 위한 '국토위성정보 수집 및 활용기술개발' 과제가 2018년 7월부터 시작되어 2020년 12월에 종료예정이다. 본 논문에서는 그 동안 상기 과제를 수행하며 발표한 논문들과 본 특별호에 수록한 논문들을 소개하고 과제의 성과에 대해서 간략히 정리하고자 한다.

Abstract ▼ AI-Helper 아이콘AI-Helper

CAS(Compact Advanced Satellite) 500-1 satellite and its follow-up, CAS 500-2, are scheduled to be launched in 2021. For these satellites, a research project on 'CAS 500-1/2 Image Acquisition and Utilization Technology Development' has been carried out. This paper summarizes publications carried out ...

주제어

#CAS 500-1/2   #satellite ground station   #orthoimages   #object extraction   #change detection  

AI 본문요약
AI-Helper 아이콘 AI-Helper

* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

문제 정의

  • 국토관측위성영상의 활용성을 높이기 위해서는 원시 위성영상에 존재하는 기하학적 왜곡과 기복변위를 제거한 정밀정사영상의 제공여부가 가장 중요한 과업으로 식별되어 본 연구과제에서는 자동으로 정밀정사 영상을 생성할 수 있는 기술개발에 주력해왔다. 이를 위해서 자동기준점 추출기술(Shin et al.
  • 그리고, 국토관측위성 영상에 적용하게 될 영상품질지표의 표준화 이슈에 대해서 정리하였다(Chang and Park, 2020). 또한, 본 특별호에는 국토관측위성영상의 활용을 위해 개발된 객체탐지기술(Lee and Lee, 2020), 변화탐지기술(Jung et al., 2020a), DEM 제작기술(Oh and Lee, 2020; Rhee et al., 2020)의 최종결과에 대해서 보고한다. 국토관측위성영상 활용의 확장성을 위해서 고급영상융합기술(Choi et al.
  • 본 특별호는 상기한 여러 연구결과를 바탕으로 ‘국토위성정보 수집 및 활용기술 개발’ 연구과제의 최종 결과물에 대한 보고를 위해서 작성하였다.
  • 이 연구과제는 인하대학교를 주관연구기관으로 하고 상지대학교를 협동연구기관으로 하여, 건국대학교, 경남대학교, 경북대학교, 남서울대학교, 서울시립대학교, 충북대학교, 한국해양대학교 등 총 9개 대학교와 (주)공간정보기술, (주)범아엔지니어링, (주)신한항업, (주)쓰리디랩스, (주)중앙항업, (주)지오씨앤아이, (주)지인컨설팅, (주)한컴인스페이스 등 8개의 전문기업, (주)쎄트렉아이, 픽소니어(주), (주)가이아쓰리디 등 3개의 시제품개발기업이 참여하고 있다. 이 사설에서는 그동안 상기 연구과제에서 수행하였던 연구개발 성과들과 본 특별호에 수록된 논문들을 간략히 소개하고자 한다.
  • 이제까지 국토관측위성의 활용을 위해서 수행한 ‘국토위성정보 수집 및 활용기술 개발’ 과제의 논문성과들과 본 특별호에 게재된 논문들에 대해서 간단하게 소개하였다.
본문요약 정보가 도움이 되었나요?

참고문헌 (50)

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