Methodology of Accuracy Assessment of Land Cover Classification using Hyperion and AVIRIS Imagery

被引：0
|
作者：
Glennon, Mary Ann [1 ]
Puetz, Capt Angela [2 ]
Cooley, Thomas [2 ]
Lockwood, Ronald [2 ]
Cipar, John [2 ]
Payton, Steven [3 ]
Tompkins, Stefanie [3 ]
机构：
[1] Boston Coll, Inst Sci Res, Chestnut Hill, MA 02467 USA
[2] Air Force Res Lab, Hanscom AFB, MA 01731 USA
[3] SAIC, Chantilly, VA 20151 USA
来源：
2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8 | 2006年
关键词：
D O I：
10.1109/IGARSS.2006.542
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
The objective of the most recent Hyperion Utility Assessment was to validate the EO-1 Hyperion hyperspectral data for image classification by comparing independent image classification results with ground truth over two distinct terrains. Lessons learned during the experiment will be presented to aid future research.
引用
收藏
页码：2095 / +
页数：3
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