Name
Title | ||
|---|---|---|
Classification of Remote Sensing Images From Urban Areas Using a Fuzzy Possibilistic Model |
Abstract | ||
|---|---|---|
The classification of very high-resolution remotely sensed images from urban areas is addressed. Previous studies have shown the interest of exploiting the local geometrical information of each pixel to improve the classification. This is performed using the derivative morphological profile (DMP) obtained with a granulometric approach, using opening and closing operators. For each pixel, this DMP ... |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/LGRS.2005.856117 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Remote sensing,Urban areas,Fuzzy sets,Image segmentation,Laboratories,Feature extraction,Image texture analysis,Size measurement,Morphology,Pixel | Computer vision,Feature vector,Pattern recognition,Fuzzy classification,Fuzzy logic,Remote sensing,Artificial intelligence,Operator (computer programming),Pixel,Contextual image classification,Mathematics,Geophysical signal processing | Journal |
Volume | Issue | ISSN |
3 | 1 | 1545-598X |
Citations | PageRank | References |
39 | 2.60 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. Chanussot | 1 | 306 | 18.20 |
| J. A. Benediktsson | 2 | 860 | 83.81 |
| M. Fauvel | 3 | 39 | 2.60 |