Nonlinear Joint Fusion and Detection of Mines Using Multisensor Data
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Summary
Experimental results for detecting anomalies in hyperspectral imagery are presented for linear and nonlinear joint fusion and detection for a co-registered SAR and HS imagery and show that the nonlinear techniques outperform linear versions.
- Type
- report
- Published
- 2008-05-01
- Cited by
- 0
- References
- 2
- OpenAlex
- https://openalex.org/W131692502
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:14562794
Keywords
Hyperspectral imaging, Nonlinear system, Artificial intelligence, Anomaly detection, Computer science
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