Title :
Classification by mathematical morphology
Author :
Pina, Pedro ; Barata, Teresa
Author_Institution :
Geo-Syst. Centre, Inst. Superior Tecnico, Lisbon, Portugal
Abstract :
A general methodology that explores the geometric characteristics presented by the training sets of each class (size, shape and orientation) in feature space, without making explicitly any statistical hypothesis, is presented in this paper. The respective decision region borders are constructed automatically and provide higher classification rates.
Keywords :
geophysical signal processing; image classification; image segmentation; mathematical morphology; statistical analysis; classification rates; feature space; geometric modelling; geometric properties; image segmentation; mathematical morphology; statistical hypothesis; weighted influence zones; Costs; Geometry; Image segmentation; Morphology; Pixel; Remote sensing; Satellites; Shape; Solid modeling; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International
Print_ISBN :
0-7803-7929-2
DOI :
10.1109/IGARSS.2003.1294839
