Name
Abstract | ||
|---|---|---|
This letter proposes a method for the change detection in multisensor remote sensing images. The proposed method combines multitemporal segmentation and compound classification. In consideration of the particularity of multisensor images, multitemporal segmentation is applied to generate homogeneous objects. This process can reduce the salt and pepper effect that is inevitable in pixel-based metho... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LGRS.2019.2892432 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Compounds,Optical sensors,Image segmentation,Optical imaging,Probability density function,Synthetic aperture radar,Adaptive optics | Computer vision,Propagation of uncertainty,Change detection,Synthetic aperture radar,Segmentation,Image segmentation,Artificial intelligence,Pixel,Probability density function,Mathematics,Adaptive optics | Journal |
Volume | Issue | ISSN |
16 | 7 | 1545-598X |
Citations | PageRank | References |
3 | 0.37 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ling Wan | 1 | 4 | 0.72 |
| Yuming Xiang | 2 | 15 | 6.30 |
| Hongjian You | 3 | 103 | 17.44 |