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

• Main Authors: Jung-Il Shin, Yeong-Min Cho, Pyung-Chae Lim, Hae-Min Lee, Ho-Yong Ahn, Chan-Won Park, Taejung Kim
• Format: Article
• Language: English
• Published: MDPI AG 2020-05-01
• Series: Remote Sensing
• Subjects: UAV image; radiometric calibration; optimal path selection; tie points; Dijkstra algorithm
• Online Access: https://www.mdpi.com/2072-4292/12/11/1726

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.