Name
Abstract | ||
|---|---|---|
In this paper, a segmentation-based approach to fine registration of multispectral and multitemporal very high resolution (VHR) images is proposed. The proposed approach aims at estimating and correcting the residual local misalignment [also referred to as registration noise (RN)] that often affects multitemporal VHR images even after standard registration. The method extracts automatically a set ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TGRS.2017.2655941 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Image segmentation,Feature extraction,Correlation,Standards,Image color analysis,Image resolution,Geometry | Residual,Computer vision,Spatial correlation,Segmentation,Remote sensing,Multispectral image,Image segmentation,Feature extraction,Artificial intelligence,Pixel,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
55 | 5 | 0196-2892 |
Citations | PageRank | References |
3 | 0.38 | 33 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Youkyung Han | 1 | 39 | 8.95 |
| Francesca Bovolo | 2 | 739 | 70.89 |
| Lorenzo Bruzzone | 3 | 4952 | 387.72 |