Name
Title | ||
|---|---|---|
A shadow detection method for remote sensing images using affinity propagation algorithm |
Abstract | ||
|---|---|---|
Shadow detection in high spatial resolution remote sensing image is very critical for locating geographical targets. In this paper, we proposed a new shadow detection method using Affinity Propagation (AP) algorithm in the Hue-Saturation-Intensity (HSI) color space. Because the pixel matrix is a large-scale matrix, if we apply AP algorithm directly on the raw pixel space, it will be computation intensive to calculate the similarity matrix. To solve this problem, we propose to divide the matrix into several blocks and then applying AP to detect shadows in H, S and I components respectively. Then, three detected images are fused to obtain a final shadow detection result. Comparative experiments are performed for K-means and threshold segmentation methods. The experimental results show that higher detection accuracy of the proposed approach is obtained, and it can solve the problems of false dismissals of K-means and threshold segmentation method. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ICSMC.2009.5346147 | SMC |
Keywords | Field | DocType |
remote sensing,affinity propagation,k means,histograms,color space,image segmentation,clustering algorithms,data mining,pixel | Histogram,Color space,Computer science,Remote sensing,Image segmentation,Artificial intelligence,Computer vision,k-means clustering,Shadow,Affinity propagation,Algorithm,Pixel,Image resolution | Conference |
Volume | Issue | ISSN |
null | null | 1062-922X |
Citations | PageRank | References |
3 | 0.48 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xinyu Chen | 1 | 29 | 7.43 |
| Xinyu Chen | 2 | 29 | 7.43 |
| Ping Guo | 3 | 5 | 2.59 |