结合特征提取和分类器的多光谱数据分类

IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003 Pub Date : 2003-10-27 DOI:10.1109/WARSD.2003.1295175

Bor-Chen Kuo, L. Ko, Jinn-Min Yang, Chia-Hao Pai

引用次数: 1

摘要

为了提高拒绝区域数据的分类精度，提出了一种新的序列特征提取与分类算法。

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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Combining feature extractions and classifiers for multispectral data classification

In this paper, a new sequential feature extraction and classification algorithm is proposed for improving the classification accuracy of reject region data.

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来源期刊

IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003

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