基于LandSat8 OLI数据对四川省阿坝州汶川县地物分类精度比较
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- 英文论文题名：Several Remote Sensing Image Supervised Classification Methods accuracy Compared in ENVI
- 论文作者：何予霄 ; Zhou jiang
- 英文论文作者：He Yuxiao ; Zhou jiang ; Sichuan Key Laboratory of Mathematical Geology ; Chengdu University of Technology
- 年：2016
- 作者机构：成都理工大学数学地质四川省重点实验室;Sichuan Key Laboratory of Mathematical Geology, Chengdu University of Technology;
- 论文关键词：监督分类 ; 平行六面体 ; 神经网络 ; 支持向量机 ; 分类精度
- 英文论文关键词：Supervised Classification ; Parallelepiped method ; Artificial Neural Net ; Support Vector Machine ; Classification accuracy
- 会议召开时间：2016-10-21
- 会议录名称：第十五届全国数学地质与地学信息学术研讨会论文集
- 英文会议录名称：Proceedings of the 15th National Workshop on Mathematical Geosciences and Geoinformatics
- 语种：中文
- 分类号：P237
- 学会代码：ZSYD
- 会议名称：第十五届全国数学地质与地学信息学术研讨会
- 会议地点：中国湖南长沙
- 主办单位：中国地质学会数学地质与地学信息专业委员会、中南大学、湖南省国土资源厅、湖南省地质学会
- 学会名称：中国地质学会数学地质与地学信息专业委员会
- 页数：1
- 文件大小：757k
- 原文格式：D
- 会议级别：全国
摘要
遥感图像的监督分类常用方法目前可以分为:平行六面体法,马氏距离法,最大似然法,神经网络法以及支持向量机法等。本文将就以上所述的五种常用的监督分类方法在ENVI中分别对汶川县威州镇同一Landsat8 OLI数据进行土地覆盖与利用状况分类.比较各种方法的分类精度,并对之所产生的差异的原因进行浅析,进而对实际的生产以及应用做出借鉴。
Remote sensing image supervised classification methods commonly used nowadays are: Parallelepiped, Mahalanobis Distance, Maximum Likelihood, Artificial Neural Net and Support Vector Machine Classification etc. This essay compares five commonly used supervised classification methods introduced above using the same Landsa8 OLI data of Weizhou, Wenchuan to solve the land cover & use circumstance. Comparing the accuracy among the five methods, and briefly analyze the reasons that causes the differences of different methods. The Conclusions may be used as references for the practical production and application.
Remote sensing image supervised classification methods commonly used nowadays are: Parallelepiped, Mahalanobis Distance, Maximum Likelihood, Artificial Neural Net and Support Vector Machine Classification etc. This essay compares five commonly used supervised classification methods introduced above using the same Landsa8 OLI data of Weizhou, Wenchuan to solve the land cover & use circumstance. Comparing the accuracy among the five methods, and briefly analyze the reasons that causes the differences of different methods. The Conclusions may be used as references for the practical production and application.
引文