Name
Title | ||
|---|---|---|
Synergistic Use of Optical and Dual-Polarized SAR Data With Multiple Kernel Learning for Urban Impervious Surface Mapping. |
Abstract | ||
|---|---|---|
Accurate mapping of impervious surface distribution is important but challenging. Integrating optical and SAR data to improve urban impervious surface estimation has recently shown promising performance. Further investigation and development on this multisensory approach are conducted in this study. A novel multiple kernel learning (MKL) framework is proposed to integrate heterogeneous features fr... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/JSTARS.2018.2883654 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Optical imaging,Adaptive optics,Feature extraction,Optical polarization,Remote sensing,Optical scattering,Land surface | Kernel (linear algebra),Impervious surface,Computer vision,Pattern recognition,Support vector machine,Multiple kernel learning,Feature extraction,Ground truth,Artificial intelligence,Optical polarization,Subpixel rendering,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 1 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Genyun Sun | 1 | 149 | 17.27 |
| Yanan Kong | 2 | 0 | 0.34 |
| Xiuping Jia | 3 | 1424 | 126.54 |
| Aizhu Zhang | 4 | 62 | 9.98 |
| Jun Rong | 5 | 3 | 1.39 |
| Hongzhang Ma | 6 | 5 | 2.03 |