Abstract | ||
---|---|---|
Objective and detailed mapping of urban land-cover types over large areas is important for hydrological modelling, as most man-made land-cover consist of sealed surfaces which strongly reduce groundwater recharge. Moreover, impervious surfaces are the predominant type in urbanized areas and can lead to increased surface runoff. Classification of man-made objects in urbanized areas is not straightf... |
Year | DOI | Venue |
---|---|---|
2012 | 10.1109/JSTARS.2012.2206573 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Image classification,Urban areas,Remote sensing,Image segmentation,Monte Carlo methods,Hydrology | Impervious surface,Hydrological modelling,Water balance,Remote sensing,Surface runoff,Mahalanobis distance,Contextual image classification,Land cover,Groundwater recharge,Mathematics | Journal |
Volume | Issue | ISSN |
5 | 6 | 1939-1404 |
Citations | PageRank | References |
5 | 0.53 | 9 |
Authors | ||
10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Eva M. Ampe | 1 | 8 | 1.41 |
Iris Vanhamel | 2 | 100 | 9.96 |
Elga Salvadore | 3 | 7 | 0.92 |
Jef Dams | 4 | 6 | 0.91 |
i bashir | 5 | 5 | 0.53 |
Luca Demarchi | 6 | 18 | 2.26 |
Jonathan Cheung-Wai Chan | 7 | 155 | 18.46 |
Hichem Sahli | 8 | 475 | 65.19 |
Frank Canters | 9 | 170 | 21.66 |
Okke Batelaan | 10 | 36 | 6.89 |