Spectral mixture analysis: Linear and semi-parametric full and iterated partial unmixing in multi- and hyperspectral image data

International Journal of Computer Vision

Volumn 42, Issue 1-2, 2001, Pages 17-37

  Nielsen, Allan Aasbjerg ^a  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

Author keywords

Generalized eigenvalue problem; Iterated constrained energy minimization (CEM); Least squares regression; Matched filtering; Non linear semi parametric unmixing (SPU); Orthogonal subspace projection (OSP); Spectral angle mapping (SAM); Target constrained interference minimized filter (TCIMF)

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; IMAGE ANALYSIS; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; MATRIX ALGEBRA; PARAMETER ESTIMATION; REGRESSION ANALYSIS; SPECTRUM ANALYSIS;

CONSTRAINED ENERGY MINIMIZATION; LINEAR PARTIAL UNMIXING; MATCHED FILTERING; ORTHOGONAL SUBSPACE PROJECTION; SEMI PARAMETRIC UNMIXING; SPECTRAL ANGLE MAPPING; SPECTRAL MIXTURE ANALYSIS; TARGET CONSTRAINED INTERFERENCE MINIMIZED FILTER;

COMPUTER VISION;

EID: 0035300746     PISSN: 09205691     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1011181216297     Document Type: Article

References (56)

1. Training strategies for neural network soft classification of remotely sensed imagery
2. Noise removal in multichannel image data by a parametric maximum noise fractions estimator
3. A comparison of min/max autocorrelation factor analysis and ordinary factor analysis
4. Unveiling the lithology of vegetated terrains in remotely sensed imagery via forced decorrelation
5. Maximum likelihood from incomplete data via the EM algorithm
6. Transformations and classifications of remotely sensed data: Theory and geological cases
7. Supervised mineral classification with semi-automatic training and validation set generation in scanning electron microscope energy dispersive spectroscopy images of thin sections
8. Transformation for ordering multispectral data in terms of image quality with implications for noise removal
9. Hyperspectral image classification and dimensionality reduction: An orthogonal subspace projection approach
10. Monitoring grasslands using convex geometry and partial unmixing-A case study
11. Link winds: Interactive scientific data analysis and visualization
12. Spatial classification using fuzzy membership models
13. The spectral image processing system (SIPS)-Interactive visualization and analysis of imaging spectrometer data
14. HIPS-2 software for image processing: Goals and directions
15. HIPS: A UNIX based image processing system
16. HIPS: Image processing under UNIX. Software and applications
17. Restoration of hyperspectral push-broom scanner data
18. Sensitivity study of a semi-automatic supervised classifier applied to minerals from X-ray mapping images
19. Sensitivity study of a semi-automatic training set generator
20. Enhancement of high spectral resolution remote-sensing data by a noise-adjusted principal components transform
21. Resolving the percentage of component terrains within single resolution elements
22. Multiclass spectral decomposition of remotely sensed scenes by selective pixel unmixing
23. Spatially invariant image sequences
24. Analysis of regularly and irregularly sampled spatial, multivariate, and multi-temporal data
25. Linear mixture models and partial unmixing in multi- and hyperspectral image data
26. Linear mixture models, full and partial unmixing in multi- and hyperspectral image data
27. Multi-channel remote sensing data and orthogonal transformations for change detection
28. Partial unmixing in hyperspectral image data
29. Spatial factor analysis of stream sediment geochemistry data from South Greenland
30. Maximum autocorrelation factorial kriging
31. Multivariate alteration detection (MAD) and MAF post-processing in multispectral, bi-temporal image data: New approaches to change detection studies
32. Spatial analysis of multivariate, (Ir-) regularly sampled data: Geochemistry from the eastern Erzgebirge
33. Semi-automatic supervised classification of minerals from X-ray mapping images
34. Restoration of GERIS data using the maximum noise fractions transform
35. Multispectral image enhancement neural networks and the maximum noise fraction transform
36. A target-constrained interference-minimized filter for subpixel detection in hyperspectral imagery
37. Mineral mapping with hyperspectral digital imagery collection experiment (HYDICE) sensor data at cuprite, Nevada, U.S.A.
38. A semi-parametric approach for decomposition of absorption spectra in the presence of unknown components
39. On the relationship between spectral unmixing and subspace projection
40. Linear mixing and the estimation of ground cover proportions
41. Mineral identification and mapping by imaging spectroscopy data analysis
42. DAIS system performance, first results from the 1995 evaluation campaigns
43. Min/max autocorrelation factors for multivariate spatial imagery
44. A noise subspace projection approach to target signature detection and extraction in an unknown background for hyperspectral images
45. Iterative spectral unmixing
46. Terrestrial imaging spectroscopy
47. The airborne/infrared imaging spectrometer (AVIRIS)