A new approach to contextual learning using interval arithmetic and its applications for land-use classification
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- 作者：Danillo Roberto Pereira1 ; danilopereira@unoeste.br" class="auth_mail" title="E-mail the corresponding author ; Joã ; o Paulo Papa ; papa@fc.unesp.br" class="auth_mail" title="E-mail the corresponding author ; papa.joaopaulo@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Sliding Window ; Sequential learning ; Contextual learning ; Interval Arithmetic
- 刊名：Pattern Recognition Letters
- 出版年：2016
- 出版时间：1 November 2016
- 年：2016
- 卷：83
- 期：part_P2
- 页码：188-194
- 全文大小：3199 K
文摘
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To introduce Interval Arithmetic to contextual-based pattern recognition.
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To validate the proposed approach in the context of land-use image classification.
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To propose a new algorithm to contextual learning.
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To evaluate two distinct classifiers with the proposed approach.
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To improve previous results concerning land-use image classification.