Land Cover Classification of Cloud-Contaminated Multitemporal High-Resolution Images

Abstract

We show how methods proposed in the statistical community dealing with missing data may be applied for land cover classification, where optical observations are missing due to clouds and snow. The proposed method is divided into two stages: 1) cloud/snow classification and 2) training and land cover classification. The purpose of the cloud/snow… (More)
DOI: 10.1109/TGRS.2010.2052464

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