Early On-Orbit Performance of the Visible Infrared Imaging Radiometer Suite Onboard the Suomi National Polar-Orbiting Partnership (S-NPP) Satellite
By C. Cao, F. D. Luccia, X. Xiong, R. Wolfe, Fuzhong Weng. IEEE Transactions on Geoscience and Remote Sensing, 2014
505 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Atmospheric Science
View Paper: https://www.semanticscholar.org/paper/b5ad72763054b1d59e26c4afe108cc3e578deee0
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In Aerospace Engineering
Citations in the corpus
- Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing (2015, unknown): “Korea 2010 [85] VIIRS 15 and 7 402–2280 and 3550–12,490 375/750 3000 Sun-sync 1 S-NPP and JPSS USA 2011 [86] PRISM 202 350–1050 and 1240, 1610 N/A N/A N/A N/A Airborne USA 2012 [77] OLI/TIRS 9 and 2 435–2294 and 10,600–12,510 30/60 185 Sun-sync 16 Landsat 8 USA 2013 [87] SGLI 19 380–865 250 1150 Sun”
- Training Small Networks for Scene Classification of Remote Sensing Images via Knowledge Distillation (2018, background): “This is an unacceptable cost of time and storage space in special situations, such as embedded devices [52–54] or during on-orbit processing [55].”
- VIIRS on‐orbit calibration methodology and performance (2014, methodology): “LikeMODIS, regularly scheduled lunar observations are also an important element for the VIIRS sensor on-orbit calibration and characterization [Cao et al., 2013; De Luccia et al., 2012a; Sun et al., 2012; Xiong et al., 2007a, 2009, 2010].”