Wavelet estimators for the derivatives of the density function from data contaminated with heteroscedastic measurement errors
Sign Up to like & getrecommendations! Published in 2017 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2016.1148735
Abstract: ABSTRACT Measurement errors occur in many real data applications. In this paper, the linear and the non linear wavelet estimators of the derivatives of the density function are constructed in the case of data contaminated… read more here.
Keywords: estimators derivatives; measurement errors; data contaminated; density function ... See more keywords
Reconstructing Missing Information of Remote Sensing Data Contaminated by Large and Thick Clouds Based on an Improved Multitemporal Dictionary Learning Method
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3095067
Abstract: The presence of clouds and cloud shadows has limited the applications of optical remote sensing data. Currently, most cloud removal methods are focused on reconstructing remote sensing data contaminated by small or thin clouds. This… read more here.
Keywords: contaminated large; remote sensing; data contaminated; method ... See more keywords