Simultaneous multi-source and multi-temporal land cover classification using a Compound Maximum Likelihood classifier


The most widely used change detection method is to classify remote sensing images independently for each date, and stack them to form a class sequence vector. However, impossible transitions within the sequences might occur and errors might be accumulated. To solve this, we propose a novel algorithm called Compound Maximum Likelihood (CML), based on the… (More)

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