Abstract | ||
---|---|---|
Several earth observation satellites acquire image bands with different spatial resolutions, e.g., a panchromatic band with high resolution and spectral bands with lower resolution. Likewise, we often face the problem of different resolutions when performing joint analysis of images acquired by different satellites. This work presents models and methods for classification of multiresolution images... |
Year | DOI | Venue |
---|---|---|
2005 | 10.1109/TGRS.2004.841395 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Bayesian methods,Remote sensing,Spatial resolution,Image resolution,Artificial satellites,Image analysis,Performance analysis,Markov random fields,Iterative algorithms,Parameter estimation | Multidimensional signal processing,Bayesian inference,Computer science,Markov random field,Remote sensing,Artificial intelligence,Contextual image classification,Spectral bands,Computer vision,Pattern recognition,Expectation–maximization algorithm,Pixel,Image resolution | Journal |
Volume | Issue | ISSN |
43 | 3 | 0196-2892 |
Citations | PageRank | References |
21 | 1.33 | 8 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
G Storvik | 1 | 134 | 18.66 |
R. Fjortoft | 2 | 234 | 27.36 |
A. H. S. Solberg | 3 | 288 | 32.80 |