Classification of aerial photogrammetric 3D point clouds
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Photogrammetric accuracy and modeling of rolling shutter cameras
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Terrestrial 3D mapping using fisheye and perspective sensors
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UAV collision and crime scene investigation
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Simplified building models extraction from ultra-light UAV
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Automatic mapping from ultra-light UAV imagery
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Photogrammetric performance of an ultra-light weight swinglet UAV
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Wide-baseline stereo from multiple views: a probabilistic account
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A generative model for true orthorectification
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The accuracy of automatic photogrammetric techniques on ultra-light UAV imagery
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Dense matching of multiple wide-baseline views
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The Chillon project: aerial / terrestrial and indoor integration
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Dynamic and scalable large scale image reconstruction
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How accurate are UAV surveying methods
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3D error estimation from tie points
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Assessment Of The Radiometric Accuracy In A Target Less Work Flow Using Pix4D Software
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A new method to determine multi-angular reflectance factor from lightweight multispectral cameras with sky sensor in a target-less workflow applicable to UAV
Abstract
A new physically based method to estimate hemispheric-directional reflectance factor (HDRF) from lightweight multispectral cameras that have a downwelling irradiance sensor is presented. It combines radiometry with photogrammetric computer vision to derive geometrically and radiometrically accurate data purely from the images, without requiring reflectance targets or any other additional information apart from the imagery. The sky sensor orientation is initially computed using photogrammetric computer vision and revised with a non-linear regression comprising radiometric and photogrammetry-derived information. It works for both clear sky and overcast conditions. A ground-based test acquisition of a Spectralon target observed from different viewing directions and with different sun positions using a typical multispectral sensor configuration for clear sky and overcast showed that both the overall value and the directionality of the reflectance factor as reported in the literature were well retrieved. An RMSE of 3% for clear sky and up to 5 for overcast sky was observed.To access the full article visit the journal of Remote Sensing of Environment or read the preprint.
Seeing the Invisible - Multispectral Image Analysis in Arable Farming
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