Name
Abstract | ||
|---|---|---|
•We extract the features of the urban area satellite images using Gabor wavelet.•Gabor wavelet applied in eight different directions (phases) considering sparsity and no need to add any sparse coding techniques.•Categorization and segmentation of satellite images has done hierarchically using Bayesian classifier.•Relaxation labeling eliminates unclassified and misclassified parts that it improves the accuracy rate.•There is a combination among contextual, structural, spectral, and statistical information toward classification. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.jag.2014.01.014 | International Journal of Applied Earth Observation and Geoinformation |
Keywords | Field | DocType |
Very high resolution satellite imagery,Gabor wavelet,Bayesian classifier,Relaxation labeling | Categorization,Relaxation labeling,Satellite imagery,Pattern recognition,Naive Bayes classifier,Gabor wavelet,Segmentation,Artificial intelligence,Novelty,Geography,False positive paradox | Journal |
Volume | ISSN | Citations |
30 | 0303-2434 | 1 |
PageRank | References | Authors |
0.37 | 21 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bardia Yousefi | 1 | 4 | 2.80 |
| Seyed Mostafa Mirhassani | 2 | 3 | 1.77 |
| Alireza Ahmadifard | 3 | 2 | 0.73 |
| Mohammadmehdi Hosseini | 4 | 1 | 1.05 |