Name
Abstract | ||
|---|---|---|
Remote sensing satellites allow continuous information acquisition from large areas of the earth and have been intensively applied in a number of applications, from agriculture to defense. A major challenge in remote sensing is that satellite communication systems present bandwidth restrictions and several issues typical of time-variant channels, which justifies the need for signal coding techniqu... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LGRS.2018.2860602 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Image coding,Encoding,Error correction codes,Image segmentation,Convolutional codes,Discrete wavelet transforms,Bandwidth | Aerospace,Computer vision,Satellite,Convolutional code,Code rate,Communication channel,Bandwidth (signal processing),Artificial intelligence,Computer engineering,Distortion,Mathematics,Encoding (memory) | Journal |
Volume | Issue | ISSN |
15 | 11 | 1545-598X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christofer Schwartz | 1 | 0 | 0.68 |
| Cristiano Torezzan | 2 | 7 | 3.65 |
| Leonardo T. Duarte | 3 | 11 | 7.06 |