Name
Abstract | ||
|---|---|---|
This paper proposed a decision fusion method based on Tau model for land cover classification. The method explicitly takes into account conditional correlation existed between different classification results from multi-sensor data. The proposed method was evaluated and compared with an existing decision fusion method using Landsat TM/ETM+ and ENVISAT ASAR data from Beijing urban area. The results showed that the proposed method produced comparable with or slightly better than the traditional fusion methods. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IGARSS.2012.6352583 | IGARSS |
Keywords | Field | DocType |
multisensor data,terrain mapping,tau model,china,decision fusion,multisource images,landsat etm+ data,land cover classification,decision fusion method,image classification,geophysical image processing,beijing urban area,envisat asar data,conditional correlation,data models,correlation,accuracy,calibration,remote sensing,satellites,earth | Terrain mapping,Decision fusion,Computer science,Remote sensing,Contextual image classification,Multi-source,Land cover,Urban area,Beijing | Conference |
Volume | Issue | ISSN |
null | null | 2153-6996 E-ISBN : 978-1-4673-1158-8 |
ISBN | Citations | PageRank |
978-1-4673-1158-8 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peijun Li | 1 | 81 | 9.08 |
| Haiqing Xu | 2 | 4 | 1.84 |
| Benqin Song | 3 | 56 | 3.01 |