Name
Title | ||
|---|---|---|
Simple and effective cloud- and shadow-detection algorithms for Landsat and Worldview images |
Abstract | ||
|---|---|---|
Many conventional cloud- and shadow-detection algorithms require meta-data such as sun angle and date of image collection. Moreover, detection results can vary a lot in actual images. We present simple and effective algorithms that do not require meta-data for detecting clouds and shadows in Landsat and Worldview images. Comparison with existing state-of-the-art algorithms, including a deep learning-based algorithm as well as a commercial algorithm, using actual satellite images, shows that the simple algorithms have comparable or even better performance than existing algorithms. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s11760-019-01532-2 | Signal, Image and Video Processing |
Keywords | Field | DocType |
Cloud detection, Shadow detection, Landsat, Worldview, Deep learning | Shadow,Computer vision,Cloud detection,Satellite,Pattern recognition,Algorithm,Artificial intelligence,Deep learning,SIMPLE algorithm,Mathematics,Cloud computing | Journal |
Volume | Issue | ISSN |
14 | 1 | 1863-1703 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chiman Kwan | 1 | 440 | 71.64 |
| Leif Hagen | 2 | 0 | 0.34 |
| Bryan Chou | 3 | 11 | 2.37 |
| Daniel Pérez | 4 | 9 | 2.63 |
| Jiang Li | 5 | 251 | 27.28 |
| Yuzhong Shen | 6 | 184 | 21.96 |
| Krysztof Koperski | 7 | 0 | 0.34 |