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

Abstract

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)

9 Figures and Tables

Topics

  • Presentations referencing similar topics