| 基于面向对象的遥感影像植被信息提取 |
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| 引用本文： | 李春燕.基于面向对象的遥感影像植被信息提取[J].科学技术与工程,2012,12(8):1941-1943,1990. |
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| 作者姓名： | 李春燕 |
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| 作者单位： | 昆明理工大学国土资源工程学院,昆明,650093 |
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| 摘 要： | 主要介绍了基于面向对象的遥感影像分类方法，借用eCognition软件通过设置不同分割尺度参数及特征值，进行了一个分割分类实例试验。结果显示，与传统的基于像元的分类方法相比，面向对象的遥感影像分类方法是具有很好的效果，提交了分类提取的精度。
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| 关 键 词： | 面向对象 遥感影像 eCognition 分类 |
| 收稿时间： | 2011/12/18 0:00:00 |
| 修稿时间： | 2011/12/18 0:00:00 |
Object-oriented Vegetation Information Extraction From Remote Sensing Image |
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| lichunyan.Object-oriented Vegetation Information Extraction From Remote Sensing Image[J].Science Technology and Engineering,2012,12(8):1941-1943,1990. |
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| Authors: | lichunyan |
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| Institution: | LI Chun-yan(Faculty of Land Resource Engineering,Kunming University of Science and Technology,Kunming 650093,P.R.China) |
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| Abstract: | This paper introduces an classification method based on object-oriented remote sensing image. We proceed a split classification test by using the eCognition software under different segmentation scale parameters and characteristic values. The results show that the object-oriented remote sensing image classification method has a better effect than the traditional pixel-based classification methods, and improved the accuracy of classification extraction. |
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| Keywords: | Object oriented remote sensing images Cognition classification |
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