Relative Radiometric Calibration Using Tie Points and Optimal Path Selection for UAV Images

  • Shin, Jung-Il
  • Cho, Yeong-Min
  • Lim, Pyung-Chae
  • Lee, Hae-Min
  • Ahn, Ho-Yong
  • ... Kim, Taejung
  • 외 1명
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초록

As the use of unmanned aerial vehicle (UAV) images rapidly increases so does the need for precise radiometric calibration. For UAV images, relative radiometric calibration is required in addition to the traditional vicarious radiometric calibration due to the small field of view. For relative radiometric calibration, some UAVs install irradiance sensors, but most do not. For UAVs without them, an intelligent scheme for relative radiometric calibration must be applied. In this study, a relative radiometric calibration method is proposed to improve the quality of a reflectance map without irradiance measurements. The proposed method, termed relative calibration by the optimal path (RCOP), uses tie points acquired during geometric calibration to define the optimal paths. A calibrated image from RCOP was compared to validation data calibrated with irradiance measurements. As a result, the RCOP method produces seamless mosaicked images with uniform brightness and reflectance patterns. Therefore, the proposed method can be used as a precise relative radiometric calibration method for UAV images.

키워드

UAV imageradiometric calibrationoptimal path selectiontie pointsDijkstra algorithmREFLECTANCE FACTORCAMERASENSOR
제목
Relative Radiometric Calibration Using Tie Points and Optimal Path Selection for UAV Images
저자
Shin, Jung-IlCho, Yeong-MinLim, Pyung-ChaeLee, Hae-MinAhn, Ho-YongPark, Chan-WonKim, Taejung
DOI
10.3390/rs12111726
발행일
2020-06
유형
Article
저널명
Remote Sensing
12
11