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פותח על ידי קלירמאש פתרונות בע"מ -
Application of spectral features' ratios for improving classification in partially calibrated hyperspectral imagery: A case study of separating Mediterranean vegetation species
Year:
2006
Authors :
אלחנתי, ויקטור
;
.
כהן, יפית
;
.
רוד, רונית
;
.
Volume :
1
Co-Authors:
Rud, R., Faculty of Civil and Environmental Engineering, Technion, Israel Institute of Technology, Haifa 32000, Israel, Agricultural Research Organization, Institute of Agricultural Engineering, Volcani Center, Bet-Dagan 50250, Israel
Shoshany, M., Faculty of Civil and Environmental Engineering, Technion, Israel Institute of Technology, Haifa 32000, Israel
Alchanatis, V., Agricultural Research Organization, Institute of Agricultural Engineering, Volcani Center, Bet-Dagan 50250, Israel
Cohen, Y., Agricultural Research Organization, Institute of Agricultural Engineering, Volcani Center, Bet-Dagan 50250, Israel
Facilitators :
From page:
143
To page:
152
(
Total pages:
10
)
Abstract:
Efficient real-time discrimination of image objects is greatly affected by their radiometry, which is only partly accounted for by image scene calibration. Such calibration treats mainly variations in flux density in the generalized imaged scene plane rather than on the objects' surface. The proposed methodology uses ratios between secondary parameterizations: e.g., absorption features and spectral derivatives. Clustering in the ratios' parameter space may allow differentiation between image objects despite limitations regarding their relative calibration. The usefulness of this approach was demonstrated in the challenging task of separating Mediterranean vegetation species using imaging spectroscopy. © Springer-Verlag 2006.
Note:
Related Files :
Clustering
Imaging spectroscopy
Mediterranean species
Spectral features
עוד תגיות
תוכן קשור
More details
DOI :
10.1007/s11554-006-0015-8
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
26361
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:22
Scientific Publication
Application of spectral features' ratios for improving classification in partially calibrated hyperspectral imagery: A case study of separating Mediterranean vegetation species
1
Rud, R., Faculty of Civil and Environmental Engineering, Technion, Israel Institute of Technology, Haifa 32000, Israel, Agricultural Research Organization, Institute of Agricultural Engineering, Volcani Center, Bet-Dagan 50250, Israel
Shoshany, M., Faculty of Civil and Environmental Engineering, Technion, Israel Institute of Technology, Haifa 32000, Israel
Alchanatis, V., Agricultural Research Organization, Institute of Agricultural Engineering, Volcani Center, Bet-Dagan 50250, Israel
Cohen, Y., Agricultural Research Organization, Institute of Agricultural Engineering, Volcani Center, Bet-Dagan 50250, Israel
Application of spectral features' ratios for improving classification in partially calibrated hyperspectral imagery: A case study of separating Mediterranean vegetation species
Efficient real-time discrimination of image objects is greatly affected by their radiometry, which is only partly accounted for by image scene calibration. Such calibration treats mainly variations in flux density in the generalized imaged scene plane rather than on the objects' surface. The proposed methodology uses ratios between secondary parameterizations: e.g., absorption features and spectral derivatives. Clustering in the ratios' parameter space may allow differentiation between image objects despite limitations regarding their relative calibration. The usefulness of this approach was demonstrated in the challenging task of separating Mediterranean vegetation species using imaging spectroscopy. © Springer-Verlag 2006.
Scientific Publication
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