PUSHBROOM HYPERSPECTRAL IMAGING FROM AN UNMANNED AIRCRAFT SYSTEM (UAS) – GEOMETRIC PROCESSINGWORKFLOW AND ACCURACY ASSESSMENT

13 citations as recorded by crossref.

1. A UAV Platform Based on a Hyperspectral Sensor for Image Capturing and On-Board Processing P. Horstrand et al. 10.1109/ACCESS.2019.2913957
2. Implementation of a UAV–Hyperspectral Pushbroom Imager for Ecological Monitoring J. Arroyo-Mora et al. 10.3390/drones3010012
3. A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops D. Gautam & V. Pagay 10.3390/agronomy10010140
4. Aerial detection of beached marine plastic using a novel, hyperspectral short-wave infrared (SWIR) camera J. Cocking et al. 10.1093/icesjms/fsac006
5. Error Budget for Geolocation of Spectroradiometer Point Observations from an Unmanned Aircraft System D. Gautam et al. 10.3390/s18103465
6. Compact, UAV-mounted hyperspectral imaging system with automatic geometric distortion rectification Q. Xue et al. 10.1364/OE.412853
7. A Review of Remote Sensing of Submerged Aquatic Vegetation for Non-Specialists G. Rowan & M. Kalacska 10.3390/rs13040623
8. Automated Georectification, Mosaicking and 3D Point Cloud Generation Using UAV-Based Hyperspectral Imagery Observed by Line Scanner Imaging Sensors A. Finn et al. 10.3390/rs15184624
9. High-Resolution UAV-Based Hyperspectral Imagery for LAI and Chlorophyll Estimations from Wheat for Yield Prediction M. Kanning et al. 10.3390/rs10122000
10. Lever-arm and boresight correction, and field of view determination of a spectroradiometer mounted on an unmanned aircraft system D. Gautam et al. 10.1016/j.isprsjprs.2019.06.016
11. Footprint Determination of a Spectroradiometer Mounted on an Unmanned Aircraft System D. Gautam et al. 10.1109/TGRS.2019.2947703
12. Mini-UAV-Borne Hyperspectral Remote Sensing: From Observation and Processing to Applications Y. Zhong et al. 10.1109/MGRS.2018.2867592
13. An Efficient Method for Generating UAV-Based Hyperspectral Mosaics Using Push-Broom Sensors J. JuanManuel et al. 10.1109/JSTARS.2021.3088945