基于潜狄利克雷分配的EO-1 hyperion高光谱数据无监督分类

International Symposium on Signals, Circuits and Systems ISSCS2013 Pub Date : 2013-07-11 DOI:10.1109/ISSCS.2013.6651211

C. Teodor, Bashar Alzenk, R. Constantinescu, M. Datcu

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引用次数: 3

摘要

在本文中，我们使用EO-1 Hyperion星载平台使用Latent Dirichlet Allocation文本建模工具获取的高光谱数据进行土地覆盖分类，实验是在2011年5月13日获取的Hyperion数据场景上进行的，覆盖了位于罗马尼亚布加勒斯特东部的一个农业区。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Unsupervised classification of EO-1 hyperion hyperspectral data using Latent Dirichlet Allocation

In this paper we perform land cover classification using hyperspectral data acquired by the EO-1 Hyperion spaceborne platform using Latent Dirichlet Allocation text modeling tool, experiments being carried on a Hyperion data scene acquired on 13 May 2011, covering an agricultural area located east of Bucharest, Romania.

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International Symposium on Signals, Circuits and Systems ISSCS2013

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