Optimization of spectral indices and long-term separability analysis for classification of cereal crops using multi-spectral RapidEye imagery
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- 作者：Henning Gerstmanna ; henning.gerstmann@geo.uni-halle.de" class="auth_mail" title="E-mail the corresponding author ; Markus Mö ; llera ; b ; markus.moeller@landw.uni-halle.de" class="auth_mail" title="E-mail the corresponding author ; Cornelia Glä ; ß ; era ; cornelia.glaesser@geo.uni-halle.de" class="auth_mail" title="E-mail the corresponding author
- 关键词：Vegetation index ; Spectral separability ; Crop classification ; Time series ; RapidEye
- 刊名：International Journal of Applied Earth Observation and Geoinformation
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：52
- 期：Complete
- 页码：115-125
- 全文大小：2461 K
文摘
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An automatic algorithm for optimal vegetation index selection for crop classification is presented.
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We introduced η2(eta-squared) as novel metric for spectral separability assessment.
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A multi-seasonal separability analysis of winter wheat and winter barley was performed.
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The separability peak was found in early to mid-summer.