Volume XXXIX-B1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B1, 393-398, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B1-393-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXIX-B1, 393-398, 2012
https://doi.org/10.5194/isprsarchives-XXXIX-B1-393-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.

  24 Jul 2012

24 Jul 2012

SENSOR CORRECTION AND RADIOMETRIC CALIBRATION OF A 6-BAND MULTISPECTRAL IMAGING SENSOR FOR UAV REMOTE SENSING

J. Kelcey and A. Lucieer J. Kelcey and A. Lucieer
  • School of Geography and Environmental Studies, University of Tasmania, Private Bag 76, Hobart, Tasmania, 7001, Australia

Keywords: Correction, Processing, High resolution, Radiometric, Sensor

Abstract. The increased availability of unmanned aerial vehicles (UAVs) has resulted in their frequent adoption for a growing range of remote sensing tasks which include precision agriculture, vegetation surveying and fine-scale topographic mapping. The development and utilisation of UAV platforms requires broad technical skills covering the three major facets of remote sensing: data acquisition, data post-processing, and image analysis. In this study, UAV image data acquired by a miniature 6-band multispectral imaging sensor was corrected and calibrated using practical image-based data post-processing techniques. Data correction techniques included dark offset subtraction to reduce sensor noise, flat-field derived per-pixel look-up-tables to correct vignetting, and implementation of the Brown- Conrady model to correct lens distortion. Radiometric calibration was conducted with an image-based empirical line model using pseudo-invariant features (PIFs). Sensor corrections and radiometric calibration improve the quality of the data, aiding quantitative analysis and generating consistency with other calibrated datasets.