2013 · 41 citations · 5 references
Natural SciencesAerospace EngineeringRemote SensingSensor FusionUnmanned Aircraft SystemsInfrared Remote SensingRemote Sensing ImageryVegetation Change DetectionVegetation Cover AssessmentVegetation IndicesVegetation MonitoringAerial Camera SystemsInfrared Spectral ImagingMultispectral Vegetation IndicesSpectral ImagingUav-based Canopy MonitoringUnmanned Aerial Vehicle ImagingUnmanned Aerial Vehicle Remote SensingUnmanned Aerial Vehicle Sensing
This paper presents an airborne multi-spectral imaging sensor which is able to simultaneously capture three visible and three near infrared channels. The first prototype was integrated in a Schiebel CAMCOPTER <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup> S-100 VTOL (Vertical Take-Off and Landing) UAV (Unmanned Aerial Vehicle) for inflight tests. A low cost version of the initial multi-spectral imaging system was developed to fit into a more compact UAV. The imaging system captures six bands with a minimal spatial resolution of approx. 10cm × 10cm (depending on altitude). Results indicate that the system is able to resist the high vibration level during flight and that the actively stabilized camera gimbal compensates for rapid roll/tilt movements of the UAV. After image registration the acquired images are stitched together for land cover mapping and flight path validation. Moreover the system is able to distinguish between different types of vegetation and soil.
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Quantifying Vegetation Change in Semiarid Environments
Andrew J. Elmore, John F. Mustard, Sara J. Manning et al. · Remote Sensing of Environment · 2000 · 489 citations
Computed Tomography-Based Spectral Imaging For Fluorescence Microscopy
Bridget K. Ford, Curtis Volin, Sean M. Murphy et al. · Biophysical Journal · 2001 · 57 citations · Full text