NDLI: Sensor Correction and Radiometric Calibration of a 6-band Multispectral Imaging Sensor for Uav Remote Sensing

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Sensor Correction and Radiometric Calibration of a 6-band Multispectral Imaging Sensor for Uav Remote Sensing

Content Provider	Semantic Scholar
Author	Kelcey, Joshua Lucieer, Arko
Copyright Year	2012
Abstract	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.
Starting Page	393
Ending Page	398
Page Count	6
File Format	PDF HTM / HTML
DOI	10.5194/isprsarchives-XXXIX-B1-393-2012
Alternate Webpage(s)	http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B1/393/2012/isprsarchives-XXXIX-B1-393-2012.pdf
Alternate Webpage(s)	https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B1/393/2012/isprsarchives-XXXIX-B1-393-2012.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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