Referenced Items are not available for this document.
This letter describes the extension of signal subspace processing (SSP) to the arena of anomaly detection. In particular, we develop an SSP-based, local anomaly detector that exploits the rich information available in the multiple bands of a hyperspectral (HS) image. This SSP approach is based on signal processing considerations, and its entire formulation reduces to a straightforward (and intuitively pleasing) geometric and algebraic development. We extend the basic SSP concepts to the HS anomaly detection problem, develop an SSP HS anomaly detector, and evaluate this algorithm using multiple HS data files
Published in:
Geoscience and Remote Sensing Letters, IEEE
(Volume:3
,
Issue:
3
)
Date of Publication: July 2006
- Page(s):
- 312 - 316
- ISSN :
- 1545-598X
- INSPEC Accession Number:
- 8999491
- Digital Object Identifier :
- 10.1109/LGRS.2006.870833
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 17 July 2006
- Issue Date :
- July 2006
- Sponsored by :
- IEEE Geoscience and Remote Sensing Society
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