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人工智能技术在遥感分类中的应用综述

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摘要 目前遥感数据广泛应用于地表信息的提取,因复杂性、不确定性,分类方法不一。文中介绍了决策树、神经网络和支持向量机方法等人工智能分类法的算法,分析了探讨了其在遥感分类中的优势与局限,并从提高遥感分类精度的角度进行了总结与展望。
作者 蒋容
机构地区 四川师范大学地理与资源科学学院
出处 《河南科技》 2014年第6期28-30,共3页 Henan Science and Technology
关键词 遥感分类 决策树 神经网络 支持向量机
分类号 TP18 [自动化与计算机技术—控制理论与控制工程] TP751 [自动化与计算机技术—检测技术与自动化装置]
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参考文献22

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二级参考文献32

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共引文献58

河南科技
2014年 第6期

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