| Autor: |
Hong Xia Wang, Dai Zhi Liu, Shi Qi Huang, Yi Ting Wang |
| Rok vydání: |
2014 |
| Předmět: |
|
| Zdroj: |
Applied Mechanics and Materials. :631-635 |
| ISSN: |
1662-7482 |
| DOI: |
10.4028/www.scientific.net/amm.631-632.631 |
| Popis: |
Hyperspectral remote sensing technology can be used to make a correct spectral diagnosis on substances. So it is widely used in the field of target detection and recognition. However, it is very difficult to gather accurate prior information for target detect since the spectral uncertainty of objects is pervasive in existence. An anomaly detector can enable one to detect targets whose signatures are spectrally distinct from their surroundings with no prior knowledge. It becomes a focus in the field of target detection. Therefore, we study four anomaly detection algorithms and conclude with empirical results that use hyperspectral imaging data to illustrate the operation and performance of various detectors. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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