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- W2038983886 abstract "Before an aerial image can be used to support a site-specific application it is essential to perform the geometric corrections and geocoding. This research discusses the development of an automatic aerial image georeferencing method for an unmanned aerial vehicle (UAV) image data acquisition platform that does not require use of ground control points (GCP). An onboard navigation system is capable of providing continuous estimates of the position and attitude of the UAV. Based on a navigation data and a camera lens distortion model, the image collected by an onboard multispectral camera can be automatically georeferenced. When compared with 16 presurveyed ground reference points, image automatic georeferenced results indicated that position errors were less than 90 cm. A large field mosaic image can be generated according to the individual image georeferenced information. A 56.9 cm mosaic error was achieved. This accuracy is considered sufficient for most of the intended precision agriculture applications." @default.
- W2038983886 created "2016-06-24" @default.
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- W2038983886 date "2011-02-01" @default.
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- W2038983886 title "Method for automatic georeferencing aerial remote sensing (RS) images from an unmanned aerial vehicle (UAV) platform" @default.
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- W2038983886 doi "https://doi.org/10.1016/j.biosystemseng.2010.11.003" @default.
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