Geometric calibration and accuracy assessment of a multispectral imager on UAVs

Fengjie Zheng; Tao Yu; Xingfeng Chen; Jiping Chen; Guoti Yuan

doi:10.1117/12.2000652

20 November 2012 Geometric calibration and accuracy assessment of a multispectral imager on UAVs

Fengjie Zheng, Tao Yu, Xingfeng Chen, Jiping Chen, Guoti Yuan

Proceedings Volume 8563, Optical Metrology and Inspection for Industrial Applications II; 856319 (2012) https://doi.org/10.1117/12.2000652
Event: Photonics Asia, 2012, Beijing, China

Abstract

The increasing developments in Unmanned Aerial Vehicles (UAVs) platforms and associated sensing technologies have widely promoted UAVs remote sensing application. UAVs, especially low-cost UAVs, limit the sensor payload in weight and dimension. Mostly, cameras on UAVs are panoramic, fisheye lens, small-format CCD planar array camera, unknown intrinsic parameters and lens optical distortion will cause serious image aberrations, even leading a few meters or tens of meters errors in ground per pixel. However, the characteristic of high spatial resolution make accurate geolocation more critical to UAV quantitative remote sensing research. A method for MCC4-12F Multispectral Imager designed to load on UAVs has been developed and implemented. Using multi-image space resection algorithm to assess geometric calibration parameters of random position and different photogrammetric altitudes in 3D test field, which is suitable for multispectral cameras. Both theoretical and practical accuracy assessments were selected. The results of theoretical strategy, resolving object space and image point coordinate differences by space intersection, showed that object space RMSE were 0.2 and 0.14 pixels in X direction and in Y direction, image space RMSE were superior to 0.5 pixels. In order to verify the accuracy and reliability of the calibration parameters，practical study was carried out in Tianjin UAV flight experiments, the corrected accuracy validated by ground checkpoints was less than 0.3m. Typical surface reflectance retrieved on the basis of geo-rectified data was compared with ground ASD measurement resulting 4% discrepancy. Hence, the approach presented here was suitable for UAV multispectral imager.

Citation Download Citation

Fengjie Zheng, Tao Yu, Xingfeng Chen, Jiping Chen, and Guoti Yuan "Geometric calibration and accuracy assessment of a multispectral imager on UAVs", Proc. SPIE 8563, Optical Metrology and Inspection for Industrial Applications II, 856319 (20 November 2012); https://doi.org/10.1117/12.2000652

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