Projection-based methods for hyperspectral image fraction estimation
被引:1
作者:
Triscari, JM
论文数: 0引用数: 0
h-index: 0
机构:
Sci Applicat Int Corp, Image Technol & Syst Div, Tucson, AZ 85711 USASci Applicat Int Corp, Image Technol & Syst Div, Tucson, AZ 85711 USA
Triscari, JM
[1
]
Iverson, AE
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h-index: 0
机构:
Sci Applicat Int Corp, Image Technol & Syst Div, Tucson, AZ 85711 USASci Applicat Int Corp, Image Technol & Syst Div, Tucson, AZ 85711 USA
Iverson, AE
[1
]
Sementilli, PJ
论文数: 0引用数: 0
h-index: 0
机构:
Sci Applicat Int Corp, Image Technol & Syst Div, Tucson, AZ 85711 USASci Applicat Int Corp, Image Technol & Syst Div, Tucson, AZ 85711 USA
Sementilli, PJ
[1
]
West, KF
论文数: 0引用数: 0
h-index: 0
机构:
Sci Applicat Int Corp, Image Technol & Syst Div, Tucson, AZ 85711 USASci Applicat Int Corp, Image Technol & Syst Div, Tucson, AZ 85711 USA
West, KF
[1
]
机构:
[1] Sci Applicat Int Corp, Image Technol & Syst Div, Tucson, AZ 85711 USA
来源:
1998 IEEE SOUTHWEST SYMPOSIUM ON IMAGE ANALYSIS AND INTERPRETATION
|
1998年
关键词:
D O I:
10.1109/IAI.1998.666893
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
In this paper, we investigate the issues that arise with the use of large spectral libraries in practical applications of fraction estimation in hyperspectral imaging. We then present a new technique for fraction estimation based on the method of successive projections onto convex sets. Results are presented that demonstrate the ability of this technique to recover information that cannot be recovered using traditional techniques based on linear regression alone.