| 基于快鸟遥感影像的农地分类方法研究 |
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| 引用本文： | 高鲜.基于快鸟遥感影像的农地分类方法研究[J].测绘与空间地理信息,2016(5):129-131. |
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| 作者姓名： | 高鲜 |
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| 作者单位： | 四川省林业调查规划院,四川成都,610081 |
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| 摘 要： | 遥感影像的解译精度受客观因素和主观因素的影响,各种不同解译方法的分类结果精度不一样,并且不同解译方法所适用的地物类型不相同。本文以咸阳市长武县的快鸟遥感影像数据源,运用不同的分类方法,对遥感数据进行解译,并对解译结果进行分析,评价不同解译方法的精度及所适用的地物类型。结果表明,决策树分类方法较适合农地分类。
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| 关 键 词： | 快鸟 遥感影像 解译精度 解译方法 |
Rse earch ofF arm-land Classification Methods Based on QuickBird Remote Sen sing Images |
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| Abstract: | The precision of interpretation is influenced by objective factors and subjective factors , and there is difference between vari-eties of different classification result precision of interpretation method .Meanwhile , the applicable feature types of different interpreta-tion are not the same .The article takes QuickBird remote sensing images of Changwu in Xianyang for data source , use different classi-fication methods to interpret remote sensing data. And analysis the interpretation results, evaluate the accuracy and the applicable land cover types of different interpretation methods .The results show that the decision tree classification method is more suitable for farm -land classification . |
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| Keywords: | QuickBird remote sensing images precision of interpretation methods of interpretation |
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