Geo-atmospheric processing of airborne imaging spectrometry data. Part 1: Parametric orthorectification
By D. Schläpfer, Rudolf Richter. 2002
309 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Artificial Intelligence, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/d43b23e46305d72260e8e07d5c408dc8ef597058
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In Aerospace Engineering
In Artificial Intelligence
- Dar A. Roberts
- Philip E. Dennison
- Joachim Hill
- Martin Schlerf
- Henning Buddenbaum
- Mathias Kneubühler
- Klaus I. Itten
- David Ray Thompson
In Ocean Engineering
Citations in the corpus
- Classification of coniferous tree species and age classes using hyperspectral data and geostatistical methods (2005, methodology): “Parametric geocoding was performed using the software PARGE (Schläpfer et al. 1998, Schläpfer and Richter 2002).”
- Atmospheric correction for global mapping spectroscopy: ATREM advances for the HyspIRI preparatory campaign (2015, methodology): “Prior atmospheric correction codes include ACORN (Kruse, 2004), FLAASH (Perkins et al., 2012), and ATCOR (Richter & Schläpfer, 2002).”
- Estimating foliar biochemistry from hyperspectral data in mixed forest canopy (2008, methodology): “The imaging spectrometer data was orthorectified based on the parametric geocoding (PARGE) procedure, which considers the terrain geometry and allows attitude (roll, pitch and heading) and flightpath-dependent distortions to be corrected (Schläpfer and Richter, 2002; Schläpfer, 2005).”
- Advanced radiometry measurements and Earth science applications with the Airborne Prism Experiment (APEX) (2015, methodology): “APEX science grade data processing is corrected to minimize the impact of atmospheric and topographic effects (Richter & Schläpfer, 2002; Schläpfer & Richter, 2002).”