Name
Abstract | ||
|---|---|---|
Enhancement algorithms are absolutely necessary for the visualization of both shadowed and bright image regions. Defining algorithms that permit to visualize them simultaneously without altering the image content is therefore extremely relevant for remote sensing applications. In this paper, we present the results of two successive benchmarks which tested the performance of the state-of-the-art co... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TGRS.2016.2594339 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Satellites,Benchmark testing,Image color analysis,Remote sensing,Image enhancement,Visualization,Algorithm design and analysis | Color constancy,Computer vision,Fidelity,Satellite,Algorithm design,Visualization,Remote sensing,Remote sensing application,Artificial intelligence,Digital image processing,Mathematics,Benchmark (computing) | Journal |
Volume | Issue | ISSN |
54 | 12 | 0196-2892 |
Citations | PageRank | References |
3 | 0.38 | 17 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jose Luis Lisani | 1 | 42 | 8.41 |
| Michel, J. | 2 | 46 | 4.42 |
| Jean-Michel Morel | 3 | 3590 | 228.85 |
| Ana Belén Petro | 4 | 39 | 4.13 |
| Catalina Sbert | 5 | 368 | 42.20 |