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Filling missing data and smoothing altered data in satellite imagery with a spatial functional procedure
(Springer, 2019)
info:eu-repo/semantics/article,
Outliers and missing data are commonly found in satellite imagery. These are usually caused by atmospheric or electronic failures, hampering the correct monitoring of remote-sensing data. To avoid distorted data, we propose ...
Improving the quality of satellite imagery based on ground-truth data from rain gauge stations
(MDPI, 2018)
info:eu-repo/semantics/article,
Multitemporal imagery is by and large geometrically and radiometrically accurate, but the residual noise arising from removal clouds and other atmospheric and electronic effects can produce outliers that must be mitigated ...