Classification Methods for Remotely Sensed Data

Classification Methods for Remotely Sensed Data

by Paul Mather
3/5

The extraction of thematic information from remotely sensed images is a key area of research into applications of remote sensing data.

Standard methods of classification based on similarity ond probability measures, such as the maximum likelihood procedur.

First published
2001
Publishers
Taylor & Francis Group
Language
English

Paul Mather

About Paul Mather

Canadian television writer and producer...

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