Name
Abstract | ||
|---|---|---|
The fusion of methods for the classification of panchromatic high resolution satellite remote sensing images from urban areas is addressed. In this paper we propose to aggregate the results provided by different classifiers with complementary properties. Classical combination rules fail to property combine conflictual information or information provided by sources with different reliabilities. To overcome those problems. the proposed approach is based on the definition of' two measures of accuracy. Based on fuzzy set theory, both a local and at global accuracy are defined for each classifier. The fusion is then performed with an adaptive fuzzy combination operator. In terms of classification accuracy, the proposed method performs better than each classifier used separately. Results are presented on IKONOS images. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/IGARSS.2005.1525654 | Geoscience and Remote Sensing Symposium, 2005. IGARSS '05. Proceedings. 2005 IEEE International |
Keywords | Field | DocType |
satellites,spatial resolution,image resolution,classification algorithms,fuzzy set theory,remote sensing | Data mining,Image fusion,Computer science,Remote sensing,Fuzzy set,Artificial intelligence,Classifier (linguistics),Computer vision,Panchromatic film,Fuzzy logic,Sensor fusion,Statistical classification,Image resolution | Conference |
Volume | ISBN | Citations |
4 | 0-7803-9050-4 | 4 |
PageRank | References | Authors |
0.63 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mathieu Fauvel | 1 | 742 | 42.30 |
| Jocelyn Chanussot | 2 | 4145 | 272.11 |
| J. A. Benediktsson | 3 | 860 | 83.81 |