Name
Abstract | ||
|---|---|---|
In image processing, the detection of keypoint plays a significant role in foundation work of many image applications. Most widely distributed features in images are corners. Among the famous corner detectors, Harris detector has shown its excellent performance. However, when coming up with SAR image, the speckle noise may severely influence the performance of Harris. And Harris is seldom used in SAR image processing. In this paper, we take advantage of the premium properties of the Bilateral Filter which is robust to speckle noise while preserving the details. Then we propose a new corner detector called bf-Harris. We study the performance of the proposed detector and compare it to several existing approaches. The result shows the algorithm has an excellent performance. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7729706 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
Harris, SAR, speckle noise, Bilateral Filter | Kernel (linear algebra),Computer vision,Speckle pattern,Computer science,Optical filter,Image processing,Artificial intelligence,Hessian affine region detector,Speckle noise,Bilateral filter,Detector | Conference |
ISSN | Citations | PageRank |
2153-6996 | 1 | 0.35 |
References | Authors | |
10 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bingbing Wu | 1 | 1 | 0.35 |
| Shilin Zhou | 2 | 30 | 2.68 |
| Kefeng Ji | 3 | 176 | 17.01 |