Real-time constrained discriminant analysis to target detection and classification in hyperspectral imagery

Pattern Recognition

Volumn 36, Issue 1, 2003, Pages 1-12

  Du, Qian ^a   Ren, Hsuan ^b  

^a TEXAS A AND M UNIVERSITY   (United States)

^b EDGEWOOD CHEMICAL BIOLOGICAL CENTER   (United States)

Author keywords

Classification; Constrained linear discriminant analysis (CLDA); Detection; Hyperspectral imagery; Real time processing

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE ANALYSIS; PROJECTION SYSTEMS; REAL TIME SYSTEMS; TARGETS;

CONSTRAINED LINEAR DISCRMINANT ANALYSIS (CLDA);

RADAR TARGET RECOGNITION;

DISCRIMINANT ANALYSIS; IMAGE CLASSIFICATION; SPECTRAL ANALYSIS;

EID: 0037209421     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(02)00065-1     Document Type: Article

References (13)

1. Imaging spectrometry for earth remote sensing
2. Linear constrained distance-based discriminant analysis for hyperspectral image classification
3. Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection
4. Mapping the distribution of mine tailing in the coeur d'Alene river valley, Idaho through the use of constrained energy minimization technique
5. Use of filter vectors in hyperspectral data analysis
6. Real-time hyperspectral detection and cuing
7. Real-time processing algorithms for target detection and classification in hyperspectral imagery
8. An unsupervised orthogonal subspace projection to target detection and classification in unknown environment
9. Fully constrained least squares linear mixture analysis for material quantification in hyperspectral imagery