| 监督分类和目视修改相结合在高分辨率遥感影像中的应用 |
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| 引用本文： | 陈超,江涛,岳远平.监督分类和目视修改相结合在高分辨率遥感影像中的应用[J].国土资源信息化,2009(5):37-40,48. |
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| 作者姓名： | 陈超 江涛 岳远平 |
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| 作者单位： | [1]山东科技大学测绘科学与工程学院遥感科学与技术系,山东青岛266510 [2]山东科技大学基础地理与数字化技术山东重点实验室,山东青岛266510 [3]青岛市城阳区94362部队,山东青岛266510 |
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| 摘 要： | 用计算机对遥感影像进行地物类型识别是遥感数字图像处理的一个重要内容，传统的地物分类一般采用MSS、TM和Spot等遥感影像作为数据源。与MSS、TM和Spot等传统遥感影像相比，QuickBird等高分辨率影像数据量大，混合像元减少、地物信息增大，能够被应用于土地分类。在监督分类中，对于达不到精度要求的模板，通常采用重新选择训练区的方法来进行修正，而本文采用目视修改的方法来对监督分类进行补充。本文方法可以改正初次分类中的误分、混分地物，使其归到正确的地物分类中，显著提高了土地分类的精度。为了验证算法的有效性，利用ERDASIMAGING遥感图像处理软件进行实验和精度评价。实验结果表明，监督分类和目视修改相结合的地物分类方法可以显著提高图像的分类精度。
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| 关 键 词： | 监督分类 目视修改 遥感影像 分类模板 精度评价 |
Application of Supervised Classification and Visual Revision in High Resolution Remote Sensing Image |
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| Chen Chao,Jiang Tao,Yue Yuanping.Application of Supervised Classification and Visual Revision in High Resolution Remote Sensing Image[J].Land and Resources Informatization,2009(5):37-40,48. |
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| Authors: | Chen Chao Jiang Tao Yue Yuanping |
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| Institution: | Chen Chao~1,Jiang Tao~(1,2),Yue Yuanping~3 (1.Department of Remote Sensing Science and Technology,College of Geomatics,Shandong University of Science and Technology,Qingdao,Shandong,266510 2.Shandong Provincial Key Laboratory of Fundamental Geography and Digital Technology,266510 3.No.94362 of PLA,Chengyang District,266111) |
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| Abstract: | Using computer to recognize the type of the ground object on the remote sensing image is an important part of the remote sensing digital image processing.The traditional classification of ground object generally uses remote sensing images,such as MSS,TM and Spot,as data source.Compared with MSS, TM,Spot and other traditional remote sensing images,QuickBird and other high-resolution images have advantages of larger amount of data,reduced mixed-pixel,and increased ground object information,and therefore can b... |
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| Keywords: | Supervised classification Visual revision Remote sensing image Classification template Accuracy assessment |
| 本文献已被 CNKI 维普 等数据库收录！ |
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