Name
Abstract | ||
|---|---|---|
Recent advances in imaging technology make it possible to obtain remotely sensed imagery data of the Earth at high spatial, spectral, and radiometric resolutions. The rate at which the data is collected from these satellites can far exceed the channel capacity of the data downlink. Reducing the data rate to within the channel capacity can often require painful trade-offs in which certain scientific returns are sacrificed for the sake of others. The authors focus on the case where radiometric resolution is sacrificed by dropping a specified number of lower order bits (LOB) from each data pixel. To limit the number LOBs dropped, they also compress the remaining bits using lossless compression. They call this approach “truncation followed by lossless compression” or TLLC. They then demonstrate the suboptimality of this TLLC approach by comparing it with the direct application of a more effective lossy compression technique based on the JPEG algorithm. This comparison demonstrates that, for a given channel rate, the method based on JPEG lossy compression better preserves radiometric resolution than does TLLC |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/36.628784 | Geoscience and Remote Sensing, IEEE Transactions |
Keywords | DocType | Volume |
data compression,geophysical signal processing,geophysical techniques,image coding,image resolution,remote sensing,satellite telemetry,telemetry,JPEG,LOB,TLLC,data compression,data downlink,data rate reduction,geophysical measurement technique,image coding,image processing,land surface,lossy compression,lower order bits,optical imaging,radiometric resolution preservation,satellite remote sensing,telemetry,terrain mapping,truncation followed by lossless compression | Journal | 35 |
Issue | ISSN | Citations |
5 | 0196-2892 | 1 |
PageRank | References | Authors |
0.46 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. C. Tilton | 1 | 29 | 4.07 |
| Manohar, M. | 2 | 1 | 0.46 |