Title
Decision fusion approach for multitemporal classification
Abstract
This paper proposes two decision fusion-based multitemporal classifiers, namely, the jointly likelihood and the weighted majority fusion classifiers, that are derived using two different definitions of the minimum expected cost. Without any overhead incurred by multitemporal processing, a user-selected conventional pixelwise classifier makes local class separately using each temporal data set, and...
Year
DOI
Venue
1999
10.1109/36.763278
IEEE Transactions on Geoscience and Remote Sensing
Keywords
DocType
Volume
Testing,Data mining,Distributed computing,Costs,Maximum likelihood detection,Power system reliability,Remote sensing,Earth,Sensor systems,Data analysis
Journal
37
Issue
ISSN
Citations 
3
0196-2892
51
PageRank 
References 
Authors
3.61
5
2
Name
Order
Citations
PageRank
Byeungwoo Jeon11045114.72
David A. Landgrebe2807125.38