Name
Title | ||
|---|---|---|
Multiobjective Genetic Optimization of Terrain-Independent RFMs for VHSR Satellite Images. |
Abstract | ||
|---|---|---|
Rational polynomial coefficients (RPCs) biases and over-fitting phenomenon are two major issues in terrain-independent rational function models. These problems degrade the accuracy of extracted spatial information from very high spatial resolution (VHSR) satellite images. This study particularly focused on overcoming the over-fitting problem through an optimal term selection approach. To this end,... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LGRS.2017.2712810 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Satellites,Genetic algorithms,Optimization,Indexes,Genetics,Spatial resolution,Geomagnetism | Spatial analysis,Data set,Terrain,Mean squared error,Artificial intelligence,Subpixel rendering,Genetic algorithm,Computer vision,Mathematical optimization,Ranking,Algorithm,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
14 | 8 | 1545-598X |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Naeini, A.A. | 1 | 5 | 1.75 |
| Sayyed Hamed Alizadeh Moghaddam | 2 | 0 | 1.35 |
| Sayyed Mohammad Javad Mirzadeh | 3 | 3 | 1.04 |
| Saeid Homayouni | 4 | 152 | 19.08 |
| Sayyed Bagher Fatemi | 5 | 2 | 0.69 |