| scholarly article | Q13442814 |
| P356 | DOI | 10.1016/S0303-2434(01)85010-8 |
| P50 | author | Andrew J. Tatem | Q29397317 |
| Mark S. Nixon | Q42305853 | ||
| Peter M. Atkinson | Q55176023 | ||
| P2093 | author name string | Hugh G Lewis | |
| P2860 | cites work | Super-resolution target identification from remotely sensed images using a Hopfield neural network | Q57305412 |
| P433 | issue | 2 | |
| P921 | main subject | land cover | Q3001793 |
| P1104 | number of pages | 7 | |
| P304 | page(s) | 184-190 | |
| P577 | publication date | 2001-01-01 | |
| P1433 | published in | International Journal of Applied Earth Observation and Geoinformation | Q15767393 |
| P1476 | title | Multiple-class land-cover mapping at the sub-pixel scale using a Hopfield neural network | |
| P478 | volume | 3 |
| Q58646959 | Fully spatially adaptive smoothing parameter estimation for Markov random field super-resolution mapping of remotely sensed images |
| Q57305350 | Issues of uncertainty in super-resolution mapping and their implications for the design of an inter-comparison study |
| Q57591449 | Mangrove Species Identification: Comparing WorldView-2 with Aerial Photographs |
| Q58651773 | Radial basis function neural networks classification using very high spatial resolution satellite imagery: an application to the habitat area of Lake Kerkini (Greece) |
| Q57305331 | Super-resolution mapping using Hopfield Neural Network with panchromatic imagery |
Search more.