Abstract:
In this paper the use of an object-oriented classification approach for the identification of basic land cover types from panchromatic images is examined. Based on data r...Show MoreMetadata
Abstract:
In this paper the use of an object-oriented classification approach for the identification of basic land cover types from panchromatic images is examined. Based on data recorded by KOMPSAT-1 and SPOT-5 the same classification procedure will be applied to both data sets and the results compared to a visual classification. Results show that a classifier which not only relies on the spectral values of individual pixels but rather on a number of features, calculated for previously identified image segments can be readily used for the semi-automatic classification of basic land cover types from panchromatic data. It is also robust enough to be able to analyze new data with minimal input by the user.
Published in: IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)
Date of Conference: 21-25 July 2003
Date Added to IEEE Xplore: 10 May 2004
Print ISBN:0-7803-7929-2