Physics-based model acquisition and identification in airborne spectral images
Physics-based model acquisition and identification in airborne spectral images
- Neue Suche nach: Slater, D.
- Neue Suche nach: Healey, G.
- Neue Suche nach: Slater, D.
- Neue Suche nach: Healey, G.
We consider the problem of acquiring models for unknown materials in airborne 0.4 /spl mu/m-2.5 /spl mu/m hyperspectral imagery and using these models to identify the unknown materials an image data obtained under significantly different conditions. The material models are generated using an airborne sensor spectrum measured under unknown conditions and a physical model for spectral variability. For computational efficiency, the material models are represented using low-dimensional spectral subspaces. We demonstrate the effectiveness of the material models using a set of material tracking experiments in HYDICE images acquired in a forest environment over widely varying conditions. We show that techniques based on the new representation significantly outperform methods based on direct spectral matching.
Dokumentinformationen
Physics-based model acquisition and identification in airborne spectral images
Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 ; 2 ; 257-262 vol.2
2001-01-01
849196 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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