Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Interactive Training of Advanced Classifiers for Mining Remote Sensing Image Archives
 

Summary: Interactive Training of Advanced Classifiers for
Mining Remote Sensing Image Archives
Selim Aksoy
Bilkent University
Department of Computer Engineering
Bilkent, 06800, Ankara, Turkey
saksoy@cs.bilkent.edu.tr
Krzysztof Koperski, Carsten Tusk,
Giovanni Marchisio
Insightful Corporation
1700 Westlake Ave. N., Suite 500
Seattle, WA, 98109, USA
{krisk,ctusk,giovanni}@insightful.com
ABSTRACT
Advances in satellite technology and availability of down-
loaded images constantly increase the sizes of remote sensing
image archives. Automatic content extraction, classification
and content-based retrieval have become highly desired goals
for the development of intelligent remote sensing databases.
The common approach for mining these databases uses rules

  

Source: Aksoy, Selim - Department of Computer Engineering, Bilkent University

 

Collections: Computer Technologies and Information Sciences