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Remote Sensing Technology and Application  2009, Vol. 24 Issue (3): 346-351    DOI: 10.11873/j.issn.1004-0323.2009.3.346
Wetland Information Extraction Based on DEM and the Object——A Case Study in Honghe Wetland
ZHENG Li-juan1,2,LI Xiao-juan 1,2,HU De-yong1,2,ZHOU De-min3
(1.Key Laboratory of 3D Information Acquisition and Application of Ministry of
Education,Beijing 100037,China;2.Beijing Municipal Key Laboratory of Resources Environment andGIS,Capital Normal University,Beijing 100037,China;3.Northeast Institute of Geography andAgricultural Ecology,Chinese Academy of Science,Changchun 130012,China)
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Remote sensing information extraction of wetland resource is one of the most important aspects in wetland research that need to meet definite accuracy and efficiency.Based on SPOT5 image,thematic information extraction of typical wetland was studied by carrying out pixel-based supervised classification and object-based classification in study area,and DEM data was combined with the information of object-oriented classification to explore ways to improve the accuracy of classification.The results showed that the information extraction based on objects and DEM can effectively improve the accuracy of remote sensing image classification.


Key words:  Honghe wetland      Information extraction      Object-oriented      DEM     
Received:  30 November 2008      Published:  20 January 2010
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ZHENG Li-juan
LI Xiao-juan
HU De-yong
ZHOU De-min

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ZHENG Li-juan,LI Xiao-juan,HU De-yong,ZHOU De-min. Wetland Information Extraction Based on DEM and the Object——A Case Study in Honghe Wetland. Remote Sensing Technology and Application, 2009, 24(3): 346-351.

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[1] Wang Aihua,Zhang Shuqing,He Yanfen.Study on Dynamic Change of Mire in Sanjiang Plain Based on RS and GIS[J].Scientia Geographica Sinica,2002,22(5):636-640.[汪爱华,张树清,何艳芬.RS和GIS支持下的三江平原沼泽湿地动态变化研究[J].地理科学,2002,22(5):636-640.]

[2] Li Jianping,Zhang Bo,Zhang Ling,et al.Current Status and Prospect of Researches on Wetland Monitoring Based on Remote Sensing [J].Progress in Geography,2007,26(1):33-41.[李建平,张柏,张泠,等.湿地遥感监测研究现状与展望[J].地理科学进展,2007,26(1):33-41.]

 [3]Wang Yuanyuan,Li Jing.Classification Methods of Land Use/Cover Based on Remote Sensing Technology[J].Remote Sensing Information,2004,(1):53-59.[王圆圆,李京.遥感影像土地利用/覆盖分类方法研究综述[J].遥感信息,2004,(1):53-59.]

[4] Atkinson P M.Spatially Weighted Supervised Classification for Remote Sensing [J].International Journal of Applied Earth Observation and Geoinformation,2004,5(4):277-291.

[5] Xu M,Watanachaturaporn P,Varshney P K,et al.Decision Tree Regression for Soft Classification of Remote Sensing Data[J].Remote Sensing of Environment,2005,97(3):322-336.

[6] Wang Min,Luo Jiancheng,Zhou Chenghu,et al.Extraction of Road Network from High Resolution Remote Sensed Imagery with the Combination of Gaussian Markov Random Field Texture Model and Support Vector Machine[J].Journal of Remote Sensing,2005,9(3):271-276.[汪闽,骆剑承,周成虎,等.结合高斯马尔可夫随机场纹理模型与支撑向量机在高分辨率遥感图像上提取道路网[J].遥感学报,2005,9(3):271-276.]

 [7] Zhou Chunyan,Wang Ping,Zhang Zhenyong,et al.Classification of Urban Land Based on Object-Oriented Information Extraction Technology [J].Remote Sensing Technology and Application,2008,23(1):31-35.[周春艳,王萍,张振勇,等.基于面向对象信息提取技术的城市用地分类[J].遥感技术与应用,2008,23(1):31-35.]

[8] You Dai′an.Study on Remote Sensing Image Processing and Analysis Technology Based on GIS[D].Zhengzhou:PLA University of Information Engineering,2001.[游代安.GIS辅助的遥感影像处理与分析技术的研究[D].郑州:中国人民解放军信息工程大学,2001.]

[9] Wright C,Gallant A.Improved Wetland Remote Sensing in Yellowstone National Park Using Classification Trees to Combine TM Imagery and Ancillary Environmental Data [J].Remote Sensing of Environment,2007,107: 582-605.

[10] Zhou Demin,Gong Huili,Hu Jinming,et al.Probe into the Landscape Pattern of Freshwater Wetland Communities-A Case Study in the Honghe National Nature Reserve in Sanjiang Plain,China[J].Journal of Natural Resources,2007,22(1):86-96.[周德民,宫辉力,胡金明,等.三江平原淡水湿地生态系统景观格局特征研究——以洪河湿地自然保护区为例[J].自然资源学报,2007,22(1):86-96.]

[11] Eiumnoh A,Shresta R P.Can DEM Enhance the Digital Image Classification [C].The 18th Asian Conference on Remote Sensing,Malaysia,1997.

[12] Cao Bao,Qin Qiming,Ma Haijian,et al.Application of Object-Oriented Approach to SPOT5 Image Classification:A Case Study in Haidian District,Beijing City[J].Geography and Geo-Information Science,2006,22(2):46-54.[曹宝,秦其明,马海建,等.面向对象方法在SPOT5遥感图像分类中的应用——以北京市海淀区为例[J].地理与地理信息科学,2006,22(2):46-54.]

[13] Cao Kai,Jiang Nan,Lv Heng,et al.The Extraction of Water Information in Urban Areas Based on SPOT5 Image Using Object-Oriented Method[J].Remote Sensing for Land & Resources,2007,2:27-30.[曹凯,江南,吕恒,等.面向对象的SPOT5影像城区水体信息提取研究[J].国土资源遥感,2007,2:27-30.]

[14] Du Fenglan,Tian Qingjiu,Xia Xueqi,et al.Object-Oriented Image Classification Analysis and Evaluation [J].Remote Sensing Technology and Application,2004,19(1):20-23.[杜凤兰,田庆久,夏学齐,等.面向对象的地物分类法分析与评价[J].遥感技术与应用,2004,19(1):20-23.]

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