Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Change Detection Comparison of Multitemporal Infrared Satellite Imagery Using Relative Radiometric Normalization

상대 방사 정규화를 이용한 다시기 적외 위성영상의 변화탐지 비교

  • Han, Dongyeob (Department of Marine and Civil Engineering, Chonnam National University) ;
  • Song, Jeongheon (Hypersensing) ;
  • Byun, Younggi (Spatial Information Research Institute, Korea Land and Geospatial Informatix Corporation)
  • 한동엽 (전남대학교 해양토목공학과) ;
  • 송정헌 ((주)하이퍼센싱) ;
  • 변영기 (한국국토정보공사, 공간정보연구원)
  • Received : 2017.12.04
  • Accepted : 2017.12.11
  • Published : 2017.12.31
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Abstract

The KOMPSAT-3A satellite acquires high-resolution MWIR images twice a day compared to conventional Earth observing satellites. New radiometric information of Earth's surface can be provided due to different characteristics from existing SWIR images or TIR images. In this study, the difference image of multitemporal images was generated and compared with existing infrared images to find the characteristics of KOMPSAT-3A MWIR satellite images. A co-registration was performed and the difference between pixel values was minimized by using PIFs (Pseudo Invariant Features) pixel-based relative normalization. The experiment using Sentinel-2 SWIR image, Landsat 8 TIR image, and KOMPSAT-3A MWIR image showed that the distinction between artifacts in the difference image of KOMPSAT-3A is prominent. It is believed that the utilization of KOMPSAT-3A MWIR images can be improved by using the characteristics of IR image.

KOMPSAT-3A 위성은 기존의 지구관측 위성에 비하여 고해상도의 MWIR 영상을 하루 2번 취득한다. 기존 SWIR 영상이나 TIR 영상과 다른 특성으로 인하여 새로운 지표면 방사 정보를 제공할 수 있다. 본 연구에서는 KOMPSAT-3A MWIR 위성영상의 특성을 살펴보기 위하여 다시기 차이 영상을 생성하여 기존 적외 영상과 비교하였다. IR 영상의 전처리 과정으로 영상 상대보정을 수행하고, PIFs(Pseudo Invariant Features) 화소기반의 상대방사 보정을 수행하여 화소값의 차이를 최소화시켰다. Sentinel-2 SWIR 영상, Landsat 8 TIR 영상과 KOMPSAT-3A MWIR 영상을 실험한 결과, KOMPSAT-3A 차이 영상에서 인공지물의 구별이 두드러짐을 확인할 수 있었다. 이러한 IR영상의 특성을 이용하여 향후 KOMPSAT-3A MWIR 영상의 활용도를 높일 수 있을 것으로 여겨진다.

Keywords

References

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