| 植被高光谱遥感分类中训练样本的选择方法 |
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| 引用本文： | 陶秋香,张连蓬,李红梅.植被高光谱遥感分类中训练样本的选择方法[J].国土资源遥感,2005,16(2):33-35. |
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| 作者姓名： | 陶秋香 张连蓬 李红梅 |
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| 作者单位： | 山东科技大学地球信息科学与工程学院,青岛,266510 |
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| 摘 要： | 针对植被高光谱遥感分类过程中参考光谱训练样本的选择问题，研究分类过程中常用训练样本的选择方法，并在此基础上提出2种新的训练样本选择（纯化）方法，然后结合具体的OMIS-I高光谱遥感数据，验证方法的有效性。
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| 关 键 词： | 植被高光谱遥感分类 训练样本选择 训练样本纯化 |
| 文章编号： | 1001-070X(2005)02-0033-03 |
| 修稿时间： | 2004年10月8日 |
THE METHODS FOR SELECTING TRAINING SAMPLES
IN VEGETATION CLASSIFICATION BASED ON
HYPERSPECTRAL REMOTE SENSING |
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| TAO Qiu-xiang,ZHANG Lian-peng,LI Hong-mei.THE METHODS FOR SELECTING TRAINING SAMPLES
IN VEGETATION CLASSIFICATION BASED ON
HYPERSPECTRAL REMOTE SENSING[J].Remote Sensing for Land & Resources,2005,16(2):33-35. |
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| Authors: | TAO Qiu-xiang ZHANG Lian-peng LI Hong-mei |
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| Institution: | Geoinformation Science & Engineering College, Shan Dong University of Science and Technology, Qingdao 266510, China |
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| Abstract: | For the selection of training samples in vegetation classification based on hyperspectral remote sensing, this paper investigates and analyzes the methods for selection of training samples in common use, presents two new selection (purification) methods for training samples, and then testifies the validity of these methods which are combined with specific OMIS-I hyperspectral remote sensing data. |
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| Keywords: | Vegetation classification based on hyperspectral remote sensing Selection of training samples Purification of training samples |
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