Back to Search
Start Over
Progressive Band Subset Fusion for Hyperspectral Anomaly Detection.
- Source :
-
IEEE Transactions on Geoscience & Remote Sensing . Jul2022, Vol. 60, p1-24. 24p. - Publication Year :
- 2022
-
Abstract
- This article presents a new approach, called progressive band subset fusion (PBSF) for hyperspectral anomaly detection. Unlike band selection (BS) which selects bands according to band prioritization or band search strategies, PBSF fuses band subsets progressively during data collection processing. It is completely opposite to BS that must be done after data are acquired and then select bands by removing spectral redundancy as post-data processing. To accomplish PBSF, two versions of PBSF are derived: PBSF of the multiple-band subset (PBSF-MBS) and PBSF of uniform BS (PBSF-UBS). In particular, the fusion process takes place in an anomaly detector from a real-time processing perspective. Three approaches are developed to realize PBSF of two-band subsets simultaneously: PBSF-band sequential (PBSF-BSQ), PBSF-RT, and PBSF-zigzag. Extensive experiments demonstrate that PBSF has advantages over BS in many ways. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ANOMALY detection (Computer security)
*DETECTORS
*ACQUISITION of data
Subjects
Details
- Language :
- English
- ISSN :
- 01962892
- Volume :
- 60
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Geoscience & Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- 158517384
- Full Text :
- https://doi.org/10.1109/TGRS.2022.3186612