International Journal of Remote Sensing · 2017 · 22 citations · 6 references
ComputingAutonomous SystemsGeoinformaticsRemote SensingSensor FusionUnmanned Aircraft SystemsLidar PerceptionLidar Remote SensingLidar-based Elevation ModelingPhotogrammetryAccuracy AnalysisAirborne Lidar Height EstimationAirborne Lidar Height MeasurementData Accuracy AnalysisUnmanned Aerial Vehicle Remote SensingUnmanned Aerial Vehicle SensingUnmanned Aerial Vehicle SurveyingVegetation Cover
In this article, the autonomous mapping airship (AMA) equipped with lidar along with its basic properties is introduced. Other methods and technologies using unmanned aerial vehicles (UAVs) or conventional aircraft are then compared to the AMA. Specifically automatic reconstruction from photographs acquired with fixed wing UAVs and lidar taken from conventional aircraft. Comparison of technologies was realized in the locality of a brown coal mine spoil heap. The size of the spoil heap interest part is about three square kilometres and it is covered with wind-blown vegetation (trees, grass, bush). We also measured about 100 height check points (HCPs) using real-time kinematic Global Navigation Satellite System technology for the purpose of accuracy analysis in the locality. One group of the HCPs were measured on the vegetation-free ground and the second group on ground with low vegetation (grass). Other properties of the methods used and the data acquired were also compared. The most important of these were data density, vegetation penetrability, speed of data collection, and economical aspects.
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Noah Snavely, Steven M. Seitz, Richard Szeliski · ACM Transactions on Graphics · 2006 · 2.8K citations · Full text
Accurate, Dense, and Robust Multi-View Stereopsis
Yasutaka Furukawa, Jean Ponce · 2007 · 697 citations
Nocerino, Menna, Remondino et al. · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2013 · 63 citations · Full text