Probabilistic modelling of stability and resolution of thematic classes from remotely sensed and digital terrain data
The conventional methods of information extraction from remotely sensed data based on the use of statistical techniques such as Maximum-Likelihood Classification (MLC) and deterministic decisions can lead to inefficient use of these data. These limitations are more apparent in high resolution imagery where pixel-based classifications do not produce satisfactory results. Furthermore the accuracy data provided in the form of confusion matrices provide minimal spatial information on...[Show more]
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