Name
Title | ||
|---|---|---|
An efficient feature optimization for wetland mapping by synergistic use of SAR intensity, interferometry, and polarimetry data. |
Abstract | ||
|---|---|---|
•Identifying the improved discrimination by the synergistic use of different SAR features.•Optimizing both the type and number of input features.•Comparing the performance of SVM and RF algorithms for complex wetland classification. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.jag.2018.06.005 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | Field | DocType |
Wetland,Interferometric coherence,Random Forest,Support vector machine,Feature optimization | Kernel (linear algebra),Polarimetry,Pattern recognition,Support vector machine,Remote sensing,Coherence (physics),Interferometry,Artificial intelligence,Classifier (linguistics),Statistical classification,Random forest,Geography | Journal |
Volume | ISSN | Citations |
73 | 0303-2434 | 4 |
PageRank | References | Authors |
0.41 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fariba Mohammadimanesh | 1 | 4 | 0.41 |
| Bahram Salehi | 2 | 51 | 10.59 |
| Masoud MahdianPari | 3 | 20 | 5.80 |
| Mahdi Motagh | 4 | 56 | 12.06 |
| B. Brisco | 5 | 70 | 19.55 |