Name
Abstract | ||
|---|---|---|
Most of the compression methods for remote sensing images are often designed under the guidance of mean square error. However, for the vision-related applications, high peak-signal-to-noise ratio (PSNR) does not mean good visual quality. On the other hand, existing compression methods that considering the human visual system (HVS) are usually designed for natural images, without taking the unique ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TGRS.2015.2478145 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Image coding,Visualization,Remote sensing,Sensitivity,Retina,Discrete wavelet transforms | Computer vision,Weighting,Image fusion,Human visual system model,Visualization,Remote sensing,Binary tree,Mean squared error,Artificial intelligence,Codec,Mathematics,Wavelet transform | Journal |
Volume | Issue | ISSN |
54 | 3 | 0196-2892 |
Citations | PageRank | References |
2 | 0.36 | 37 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cuiping Shi | 1 | 8 | 2.48 |
| Junping Zhang | 2 | 124 | 33.91 |
| Ye Zhang | 3 | 53 | 13.39 |