Title :
A non-parametric classification system for a partially unsupervised updating of land-cover maps
Author :
Bruzzone, Lorenzo ; Cossu, Roberto
Author_Institution :
DICA, Trento Univ., Italy
Abstract :
A partially unsupervised classification system for a regular updating of land-cover maps is proposed. The systems is composed of different partially unsupervised cascade classifiers integrated in the framework of a multiple classifier approach. The use of cascade classifiers allows one to exploit temporal correlation between multitemporal remote-sensing images to increase the accuracy and robustness of the partially unsupervised classification approach. Experimental results confirm the effectiveness of the proposed classification system
Keywords :
geophysical signal processing; geophysical techniques; image classification; image sequences; terrain mapping; vegetation mapping; cascade classification; cascade classifier; change detection; geophysical measurement technique; image classification; image sequence; land cover map; land surface; multiple classifier; multitemporal remote sensing; nonparametric method; partially unsupervised updating; remote sensing; terrain mapping; Availability; Classification algorithms; Electronic mail; Geographic Information Systems; Image databases; Image sensors; Information systems; Production; Remote sensing; Robustness;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.978097
