Hyperspectral Data Processing: Algorithm Design and Analysis

Glossary

2D ROC	two-dimensional receiver operating characteristic, Chapter 3
3D ROC	three-dimensional receiver operating characteristic, Chapter 3
AC-FLSMA	abundance-constrained FLSMA, Chapter 13
ACE	adaptive coherence estimation, Chapter 16
AC-LSMA	abundance-constrained linear spectral mixture analysis, Chapters 14, 32
ACLS-FLDA	abundance-constrained least squares FLDA, Chapters 13, 14
AMD	adaptive matched detector, Chapter 2
ANC	abundance non negativity constraint, Chapter 14
ASC	abundance sum-to-one constraint, Chapter 14
ASD	adaptive subspace detector, Chapter 2
AVIRIS	airborne visible/infrared imaging spectrometer, Chapter 1
BD	band de correlation, Chapter 23
BBOPC	between band orthogonal projection criterion, Chapter 30
BDE	band dimensionality expansion, Chapter 31
BEP	band generation process, Chapter 31
BEP-CEM	Chapter 31
BEP-KLSMA	Chapter 31
BEP-LSMA	Chapter 31
BEP-OSP	generalized OSP, Chapter 31
BP	band prioritization, Chapters 21, 23
BS	band selection
C-SFPC	circular-spectral feature probabilistic coding, Chapter 25
CA	component analysis, Chapters 6, 17
CADCA	computer-aided detection and classification algorithm, Chapter 30
CA-ULSMA	component analysis-based unsupervised LSMA, Chapter 17
CBS	constrained band selection, Chapters 6, 23
CCA	convex cone analysis, Chapter 7
CEM	constrained energy minimization, Chapters 2, 12
CMD	covariance-based Mahalanobis distance, Chapter 16
CMFD	covariance-based matched filter ...