Segment-Based Land Cover Mapping of a Suburban Area—Comparison of High-Resolution Remotely Sensed Datasets Using Classification Trees and Test Field Points

In order to better understand and exploit the rich information content of new remotely sensed datasets, there is a need for comparative land cover classification studies. In this study, the automatic classification of a suburban area was investigated by using (1) digital aerial image data; (2) digit...

Full description

Bibliographic Details
Main Authors: Kirsi Karila, Leena Matikainen
Format: Article
Language:English
Published: MDPI AG 2011-08-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/3/8/1777/