Invariant mixture recognition in hyperspectral images

Proceedings of the IEEE International Conference on Computer Vision

Volumn 1, Issue , 2001, Pages 262-267

  Suen, P ^a   Healey, G ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; LIGHTING; OPTIMIZATION; SPECTROMETERS; VECTORS;

HYPERSPECTRAL IMAGES; INVARIANT MIXTURE RECOGNITION;

OBJECT RECOGNITION;

EID: 0034870334     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

1. HYDICE system: Implementation and performance
2. Night vision imaging spectrometer (NVIS) performance parameters and their impact on various detection algorithms
3. Imaging spectrometry for earth remote sensing
4. Models and methods for automated material identification in hyperspectral imagery acquired under unknown illumination and atmospheric conditions
5. HYDICE post-flight data processing
6. Spectral mixture modeling: A new analysis of rock and soil types at the Viking Lander 1 site
7. Simple algorithms for remote determination of mineral abundances and particle sizes from reflectance spectra
8. Evaluation of endmember selection techniques and performance results from ORASIS hyperspectral analysis
9. Radiometric spectral characteristics and comparison of ways to compensate for the atmosphere
10. Derivation of scaled surface reflectances from AVIRIS data
11. IQP - Quadratic programming