遥感技术与应用 2019, Vol. 34 Issue (1): 68-78 DOI: 10.11873/j.issn.1004-0323.2019.1.0068 |
土地利用/覆被专栏 |
|
|
|
|
基于迭代CART算法分层分类的土地覆盖遥感分类 |
吴薇1,2,张源1,李强子1,黄慧萍1 |
(1.中国科学院遥感与数字地球研究所,北京 100101;
2.中国科学院大学,北京 100049) |
|
A Hierarchical Classification and Iterative Model based Methodfor Remote Sensing Classification of Land Cover |
Wu Wei1,2,Zhang Yuan1,Li Qiangzi1,Huang Huiping1 |
(1.Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100101,China;
2.University of Chinese Academy of Sciences,Beijing 100049,China) |
引用本文:
吴薇, 张源, 李强子, 黄慧萍. 基于迭代CART算法分层分类的土地覆盖遥感分类[J]. 遥感技术与应用, 2019, 34(1): 68-78.
Wu Wei, Zhang Yuan, Li Qiangzi, Huang Huiping. A Hierarchical Classification and Iterative Model based Methodfor Remote Sensing Classification of Land Cover. Remote Sensing Technology and Application, 2019, 34(1): 68-78.
链接本文:
http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2019.1.0068
或
http://www.rsta.ac.cn/CN/Y2019/V34/I1/68
|
[1]Cheng Jiang.Effects of Land Use and Land Cover Change on Environmental Hydrology in the Center Urban Area of Shanghai[D].Shanghai:East China Normal University,2017.[程江.上海中心城区土地利用/土地覆被变化的环境水文效应研究[D].上海:华东师范大学,2007.]
[2]Gong J,Liu Y,Xia B.Spatial Heterogeneity of Urban Land-cover Landscape in Guangzhou from 1990 to 2005[J].Journal of Geographical Sciences,2009,19(2):213-224.
[3]Liu Min,Xu Shiyuan,Hou Lijun,et al.Dynamic Variations and Environmental Effects of Land Use and Land Cover Change in the Yangtze Delta Region[J].Resources Science,2010,32(8):1533-1537.[刘敏,许世远,侯立军,等.长江三角洲土地利用/土地覆被动态变化及其环境效应[J].资源科学,2010,32(8):1533-1537]
[4]Song Jianing,Zhang Qingyong.Review on Land Use in the Rural-urban Fringe in China[J].China Land Science,2009,23(11):76-80.[宋家宁,张清勇.国内城乡结合部土地利用研究综述[J].中国土地科学,2009,23(11):76-80.]
[5]Li Xuan,Li Cheng,Xie Feng.Study on the Spatial-temporal Differentiation of Land Cover/Land Use in Suburban Area based on RS and GIS:Taking Qingpu District,Shanghai City as an Example[J].Journal of Anhui Agricultural Sciences,2018,46(8):76-79.[李炫,李成,谢锋.基于RS与GIS的城市近郊土地覆盖/利用时空分异研究——以上海市青浦区为例[J].安徽农业科学,2018,46(8):76-79.]
[6]Yang Chunjian,Zhou Chenghu.Investigation on Classification of Remote Sensing Image on Basis of Knowledge[J].Geography & Territorial Research,2001,17(1):72-77.[杨存建,周成虎.基于知识的遥感图像分类方法的探讨[J].地理与地理信息科学,2001,17(1):72-77.]
[7]Yifang B,Hongtao H,Rangel I M.Fusion of Quickbird MS and RADARSAT SAR Data for Urban Land-cover Mapping:Object-based and Knowledge-based Approach[J].International Journal of Remote Sensing,2010,31(6):1391-1410.
[8]Zhao Ping,Fu Yunfei,Zheng Liugen,et al.Cart-based Land Use/Cover Classification of Remote Sensing Images[J].Journal of Remote Sensing,2005,9(6):708-716.[赵萍,傅云飞,郑刘根,等.基于分类回归树分析的遥感影像土地利用/覆被分类研究[J].遥感学报,2005,9(6):708-716.]
[9]Huang C,Davis L S,Townshend J R G.An Assessment of Support Vector Machines for Land Cover Classification[J].International Journal of Remote Sensing,2002,23(4):725-749.
[10]Ji Min,Li Hui,Shi Xiaochun.Classification of Urban Land Use based on Object-oriented Method[J].Geospatial Information,2009,7(3):62-65.[纪敏,李辉,石晓春.面向对象的城市土地利用分类[J].地理空间信息,2009,7(3):62-65.]
[11]Liu Liya.Based on China-Made GF1 for Land Use/Cover Classification of High Cold Mountain Areas[D].Hangzhou:Zhejiang University,2016.[刘丽雅.基于国产GF-1的高寒山区土地利用/覆盖分类研究[D].杭州:浙江大学,2016.]
[12]Scott G J,Marcum R A,Davis C H,et al.Fusion of Deep Convolutional Neural Networks for Land Cover Classification of High-resolution Imagery[J].IEEE Geoscience and Remote Sensing Letters,2017,14(9):1638-1642.
[13]Chen Wenjiao,Weng Yongling,Lu Yunge.Extraction of Land Use and Land Cover Information based on Multilevel Decision Tree Classification[J].Geomatics & Spatial Information Technology,2017,40(9):63-68.[陈文娇,翁永玲,路云阁.基于多级决策树分类的土地利用与覆盖信息提取[J].测绘与空间地理信息,2017,40(9):63-68.]
[14]Zhang Wei.Land Cover Classification with Extracted Deep Features of Deep Convolutional Neural Network[D].Beijing:Institute of Remote Sensing and Digital Earth Chinese Academy,Chinese Academy of Sciences,2017.[张伟.基于深度卷积神经网络自学习特征的地表覆盖分类研究[D].北京:中国科学院遥感与数字地球研究所,2017.]
[15]Jiang Dong,Chen Shuai,Ding Fangyu,et al.Classification of Remote Sensing Image based on Object-oriented Method:A Case Study of Baixiang County[J].Journal of Anhui Agricultural Sciences,2018,33(1):143-150.[江东,陈帅,丁方宇,等.基于面向对象的遥感影像分类研究——以河北省柏乡县为例[J].遥感技术与应用,2018,33(1):143-150.]
[16]Su Yang,Qi Yuan,Wang Jianhua,et al.Land Cover Classification in Ejina Oasis by Hyperspectral Remote Sensing[J].Remote Sensing of Technology and Application,2018,33(2):202-211.[苏阳,祁元,王建华,等.基于航空高光谱影像的额济纳绿洲土地覆被提取[J].遥感技术与应用,2018,33(2):202-211.]
[17]Liu Ying.The Study of Semisupervised Ensembled Support Vector Machines for Land Cover Classification[D].Changchun:Northeast Institute of Geography and Agroecology,Chinese Academy of Sciences,2013.[刘颖.基于半监督集成支持向量机的土地覆盖遥感分类方法研究[D].长春:中国科学院东北地理与农业生态研究所,2013.]
[18]Zhang Yu,Chen Longqian,Zhou Tianjian,et al.Research on Classification of Land Use Cover and Its Changes based on Decision Tree:A Case Study of Rencheng District,Jining[J].Chinese Journal of Agricultural Resources and Regional Planning,2014,35(6):115-123.[张宇,陈龙乾,周天建,等.基于决策树的土地利用覆盖分类及变化研究—以济宁市任城区为例[J].中国农业资源与区划,2014,35(6):115-123.]
[19]Wu Jiansheng,Pan Kuangyi,Peng Jian,et al.Research on the Accuracy of TM Images Land-use Classification based on QUEST Decision Tree:A case study of Lijiang in Yunnan[J].Geographical Research,2012,31(11):1973-1980.[吴健生,潘况一,彭建,等.基于QUEST决策树的遥感影像土地利用分类——以云南省丽江市为例[J].地理研究,2012,31(11):1973-1980.]
[20]Zhang Xiaohe.Implement of Decision Tree Classifier and Application in Remote Sensing Image Classification[D].Lanzhou:Lanzhou Jiaotong University,2013.[张晓贺.决策树分类器的实现及在遥感影像分类中的应用[D].兰州:兰州交通大学,2013.]
[21]Chen Yun,Dai Jinfang,Li Junjie.CART-based Decision Tree Classifier Using Multi-feature of Image and Its Application[J].Geography and Geo-Information Science,2008,24(2):33-36.[陈云,戴锦芳,李俊杰.基于影像多种特征的CART决策树分类方法及其应用[J].地理与地理信息科学,2008,24(2):33-36.]
[22]Sun Jianwei,Wang Chao,Wang Na,et al.Research on Land Use Classification Monitoring through the Remote Sensing Data of ZY-3 Satellite based on CART Decision Tree[J].Journal of Central China Normal University:Nature Science,2016,50(6):937-943.[孙建伟,王超,王娜,等.基于CART决策树的ZY-3卫星遥感数据土地利用分类监测[J].华中师范大学学报:自科科学版,2016,50(6):937-943.]
[23]Wang Xinyun,Tian Jian,Guo Yige,et al.Land-cover Classification based on HJ-1B and ALOS Data[J].Journal of Yangtze River Scientific Research Institute,2015,32(10):121-125.[王新云,田建,郭艺歌,等. 基于光学和雷达图像的土地覆被分类[J].长江科学院院报,2015,32(10):121-125.]
[24]Hao Long,Chen Yongfu,Liu Hua,et al.Object-oriented Forest Classification of Linzhi County based on CART Decision Tree with Texture Information[J].Remote Sensing Technology and Application,2017,32(2):386-394.[郝泷,陈永富,刘华,等.基于纹理信息 CART 决策树的林芝县森林植被面向对象分类[J].遥感技术与应用,2017,32(2):386-394.]
[25]Qi Le,Yue Cairong.Remote Sensing Image Classification based on CART Decision Tree Method[J].Forest Inventory and Planning,2011,36(2):62-66.[齐乐,岳彩荣.基于CART决策树方法的遥感影像分类[J].林业调查规划,2011,36(2):62-66.]
[26]Liu Xin.Using CART Algorithm Extract Residential from Landsat8 Images:Zhangye,Linze Case Study[D].Lanzhou:Lanzhou University,2015.[刘欣.利用CART算法从LandSat8卫星影像提取居民地的研究—以张掖、临泽地区为例[D].兰州:兰州大学,2015.]
[27]Wang Jian,Dong Guangrong,Li Wenjun,et al.Primary Study on the Multi-Layer Remote Sensing Information Extraction of Desertification Land Types by Using Decision Tree Technology[J].Journal of Desert Research,2000,20(3):243-247.[王建,董光荣,李文君,等.利用遥感信息决策树方法分层提取荒漠化土地类型的研究探讨[J].中国沙漠,2000,20(3):243-247.]
[28]Liu Zhaoshan.High-resolution Remote Sensing Image Building Extraction based on CART Decision Tree[D].Wuhan:Central China Normal University,2018.[刘兆彬.基于CART决策树的高分遥感影像建筑物提取研究[D].武汉:华中师范大学,2018.]
[29]Li Hengkai,Wu Jiao,Wang Xiuli.Object Oriented Land Use Classification of Dongjiang River Basin based on GF-1 Image[J].Transactions of the Chinese Society of Agricultural Engineering,2018,34(10):245-252.[李恒凯,吴娇,王秀丽.基于GF-1影像的东江流域面向对象土地利用分类[J].农业工程学报,2018,34(10):245-252.]
[30]Xiang Tianliang,Wang Xiaoqin,Zhou Xiaocheng,et al.Land Use/Land Cover on Monitoring based on Multi-layer Techniques Using Aster Data[J].Remote Sensing Technology and Application,2006,21(6):527-531.[向天梁,汪小钦,周小成,等.基于分层分析的ASTER影像土地利用/覆盖遥感监测研究[J].遥感技术与应用,2006,21(6):527-531.]
[31]Liu Li,Yu Qiang.A Study on a Classification Method of Remote Sensing Combined Stratified Classification with Supervised Classification[J].Forest Inventory and Planning,2007,32(4):37-39.[刘礼,于强.分层分类与监督分类相结合的遥感分类法研究[J].林业调查规划,2007,32(4):37-39.]
[32]Niu Mingxiang,Zhao Gengxing,Li Zunying.Extracting of Remote Sensing Information of Wetland in Nansihu Area based on Multi-subarea and Multi-layer Techniques[J].Geography and Geo-Information Science,2004,20(2):45-48.[牛明香,赵庚星,李尊英.南四湖湿地遥感信息分区分层提取研究[J].地理与地理信息科学,2004,20(2):45-48.]
[33]Wang Zhihui,Li Shiming,Liu Liangyun,et al.Hierarchical Land Cover Classification based on MODIS NDVI Time-series[J].Remote Sensing Technology and Application,2013,28(5):910-919.[王志慧,李世明,刘良云,等.基于MODIS NDVI时间序列的土地覆盖分层分类方法研究[J].遥感技术与应用,2013,28(5):910-919.]
[34]Chen Liding,Yang Shuang,Feng Xiaoming.Land Use Change Characteristics Along the Terrain Gradient and the Spatial Expanding Analysis:A Case Study of Haidian District and Yanqing County,Beijing[J].Geographical Research,2008,27(6):1225-1234.[陈利顶,杨爽,冯晓明.土地利用变化的地形梯度特征与空间扩展——以北京市海淀区和延庆县为例[J].地理研究,2008,27(6):1225-1234.]
[35]Liu Yu,Feng Jian,Sun Nan.The Characteristics and Mechanism of the Development of Rural-urban Fringe in the Background of Fast Urbanization:A Case Study of Haidian District,Beijing[J].Geographical Research,2009,28(2):499-512.[刘玉,冯健,孙楠.快速城市化背景下城乡结合部发展特征与机制——以北京海淀区为例[J].地理研究,2009,(2):499-512.]
[36]Pan Teng,Guan Hui,He Wei.GF-2 Satellite Remote Sensing Technolgy[J].Spacecraft Recovery & Remote Sensing,2015,36(4):16-24.[潘腾,关晖,贺玮.“高分二号”卫星遥感技术[J].航天返回与遥感,2015,36(4):16-24.]
[37]Xu H.Modification of Normalised Difference Water Index (NDWI) to Enhance Open Water Features in Remotely Sensed Imagery[J].International Journal of Remote Sensing,2006,27(14):3025-3033.
[38]Xiao Yuhuan,Huang Lunchun,Liu Xiaoyan,et al.A Study of Multi-resource Remote Sensing Image Fusion based on HIS Transform[J].Chinese Journal of Engineering Geophysics,2010,7(2):248-252.[肖玉环,黄伦春,刘晓燕,等.基于HIS变换的多源遥感影像融合方法研究[J].工程地球物理学报,2010,7(2):248-252.]
[39]Zhang Shunqian,Guo Haiyan,Qing Qingtao,et al.Application of MODIS Data to Identifying Desertification in Zoige Grassland:A Layered-classification Method[J].Journal of Natural Disasters,18(1):133-138.[张顺谦,郭海燕,卿清涛,等.利用MODIS数据识别若尔盖草地的沙化——分层分类方法[J].自然灾害学报,2009,18(1):133-138.]
[40]Zhang Jun,Yu Qingguo,Hou Jiahuai.Object-oriented Classification and Information Extraction basedon High Spatial Resolution Remote Sensing Image[J].Remote Sensing Technology and Application,2010,25(1):112-117.[张俊,于庆国,侯家槐.面向对象的高分辨率影像分类与信息提取[J].遥感技术与应用,2010,25(1):112-117.]
[41]Wang Yu,Li Yu,Zhao Quanhua.A Region-based Multiscale Segmentation of Panchromatic RemoteSensingImage[J].Control and Decision,2017,33(3):1-7.[王玉,李玉,赵泉华.基于区域的多尺度全色遥感图像分割[J].控制与决策,2017,33(3):1-7.]
[42]Ma Yanni,Ming Dongping,Yang Haiping.Scale Estimation of Object-oriented Image Analysis based on Spectral-spatial Statistics[J].Journal of Remote Sensing,2017,21(4):566-578.[马燕妮,明冬萍,杨海平.面向对象影像多尺度分割最大异质性参数估计[J].遥感学报,2017,21(4):566-578.]
[43]Baatz M,Schpe A.An Optimization Approach for High Quality Multi-scale Image Segmentation[C]∥Beitrge zum AGIT-Symposium.2000:12-23.
[44]Cheng Jicheng,Guo Huadong,Shi Wenzhong.Uncertainty of Remote Sensing Data[M].Beijing:Science Press,2004.[承继成,郭华东,史文中.遥感数据的不确定性问题[M].北京:科学出版社,2004.]
[45]Rocchini D,Foody G M,Nagendra H,et al.Uncertainty in Ecosystem Mapping by Remote Sensing[J].Computers & Geosciences,2013,50(1):128-135.
[46]Witten I H,Frank E,Hall M A,et al.Data Mining:Practical Machine Learning Tools and Techniques[M].San Fdrancisco:Morgan Kaufmann,2016.
[47]Liu Yonghong,Niu Zheng.Regional Land Cover Image Classification and Accuracy Evaluation Using MODIS Data[J].Remote Sensing Technology and Application,2004,19(4):217-224.[刘勇洪,牛铮.基于MODIS遥感数据的宏观土地覆盖特征分类方法与精度分析研究[J].遥感技术与应用,2004,19(4):217-224.]
[48]Breiman L,Friedman J H,Olshcn R A,et al.Classification and Regression Trees.Wadsworth International Group,Belmont CA[M].New York:Chapman and Hall,1984. |
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
|
Shared |
|
|
|
|
|
Discussed |
|
|
|
|