File(s) under permanent embargo
Sensor correction and radiometric calibration of a 6-band multispectral imaging sensor for UAV remote sensing
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.
Funding
Winifred Violet Scott Charitable Trust
History
Publication title
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume 39-B1Volume
39-B1Editors
M Shortis, W Wagner, J HyyppaPagination
393-398Department/School
School of Geography, Planning and Spatial SciencesPublisher
ISPRSPlace of publication
AustraliaEvent title
The 12th Congress of the International Society for Photogrammetry and Remote SensingEvent Venue
Melbourne, AustraliaDate of Event (Start Date)
2012-08-25Date of Event (End Date)
2012-09-01Repository Status
- Restricted