Name
Title | ||
|---|---|---|
Cloud Detection in Satellite Images Based on Natural Scene Statistics and Gabor Features |
Abstract | ||
|---|---|---|
Cloud detection is an important task in remote sensing (RS) image processing. Numerous cloud detection algorithms have been developed. However, most existing methods suffer from the weakness of omitting small and thin clouds, and from an inability to discriminate clouds from photometrically similar regions, such as buildings and snow. Here, we derive a novel cloud detection algorithm for optical RS images, whereby test images are separated into three classes: thick clouds, thin clouds, and noncloudy. First, a simple linear iterative clustering algorithm is adopted that is able to segment potential clouds, including small clouds. Then, a natural scene statistics model is applied to the superpixels to distinguish between clouds and surface buildings. Finally, Gabor features are computed within each superpixel and a support vector machine is used to distinguish clouds from snow regions. The experimental results indicate that the proposed model outperforms state-of-the-art methods for cloud detection. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LGRS.2018.2878239 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Clouds,Image segmentation,Feature extraction,Support vector machines,Snow,Satellites,Optical imaging | Computer vision,Satellite,Support vector machine,Image processing,Feature extraction,Image segmentation,Scene statistics,Artificial intelligence,Cluster analysis,Snow,Mathematics | Journal |
Volume | Issue | ISSN |
16 | 4 | 1545-598X |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chenwei Deng | 1 | 15 | 3.23 |
| Zhen Li | 2 | 397 | 90.65 |
| Wenzheng Wang | 3 | 1 | 3.05 |
| Shuigen Wang | 4 | 33 | 3.89 |
| Linbo Tang | 5 | 2 | 1.79 |
| Alan C. Bovik | 6 | 5062 | 349.55 |