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REMOTE SENSING FOR LAND & RESOURCES    2014, Vol. 26 Issue (1) : 13-16     DOI: 10.6046/gtzyyg.2014.01.03
Technology and Methodology |
Extraction of riverway information based on object-oriented method and analysis of seasonal variations
TANG Xuguang1,2, WANG Zongming1, LIU Dianwei1, DONG Zhangyu1
1. Northeast Institute of Geography and Agricultural Ecology, CAS, Changchun 130102, China;
2. Information Center, Yellow River Conservancy Commission, Zhengzhou 450004, China
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Abstract  

Accurately extracting the riverway information could provide the basis for dam construction, flood prevention projects and disaster reduction facilities. Taking Huayuankou section in the lower reaches of the Yellow River as the study area, the authors enhanced the remote sensing images based on an improved fusion method that combines PCA transformation with wavelet transformation. Then the riverway information of four-period images consisting of winter, spring, summer and autumn was extracted using the object-oriented method. The seasonal variations in the river area, the mean river channel width, the river island area and the amount were comparatively studied under the support of GIS. The results show that the integrated remote sensing technique and GIS could directly monitor the seasonal variation characteristics of riverbed with good precision.

Keywords Longmenshan      SRTM digital elevation model      local relief      segmental activity      Wenchuan earthquake     
:  TP75  
Issue Date: 08 January 2014
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ZHANG Wei
YAO Qi
YANG Jinzhong
YU Hao
WU Jianyong
Cite this article:   
ZHANG Wei,YAO Qi,YANG Jinzhong, et al. Extraction of riverway information based on object-oriented method and analysis of seasonal variations[J]. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(1): 13-16.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2014.01.03     OR     https://www.gtzyyg.com/EN/Y2014/V26/I1/13

[1] 亢庆, 王兴玲.河道演变的遥感研究方法及应用[J].中山大学学报, 1999, 38(5):109-113. Kang Q, Wang X L.Application of remote sensing technology in riverbed changes[J].Acta Scientiarum Naturalium Universitatis Sunyatseni, 1999, 38(5):109-113.

[2] 钟凯文, 刘万侠, 黄建明.河道演变的遥感分析研究——以北江下游为例[J].国土资源遥感, 2006, 18(3):69-73. Zhong K W, Liu W X, Huang J M.A riverway evolution analysis based on remote sensing technique:A case study of the lower reaches of the Beijiang River[J].Remote Sensing for Land and Resources, 2006, 18(3):69-73.

[3] 候素珍, 陈亚男.应用遥感技术分析黄河下游河道平面演变[J].地域研究与开发, 1989, 8(5):74-75. Hou S Z, Chen Y N.Application of remote sensing technology to monitor the lower Yellow River channel evolution[J].Areal Research and Development, 1989, 8(5):74-75.

[4] 刘学工, 韩琳, 张艳宁, 等.黄河下游游荡型河段河相遥感监测分析研究[J].人民黄河, 2008, 30(3):4-6. Liu X G, Han L, Zhang Y N, et al.Research on remote sensing monitoring of the wandering-graided reach of the lower Yellow River[J].Yellow River, 2008, 30(3):4-6.

[5] 毛锋, 黄健熙, 胡强, 等.基于多源遥感数据的清口地区河道演变及驱动力分析[J].清华大学学报:自然科学版, 2009, 49(3):313-316. Mao F, Huang J X, Hu Q, et al.Analysis of evolution of rivers and driving force in the Qingkou region based on multi-source remote sensing data[J].Journal of Tsing University:Science and Technology, 2009, 49(3):313-316.

[6] 李茂田, 于霞, 陈中原.40年来长江九江河段河道演变及其趋势预测[J].地理科学, 2004, 24(1):76-82. Li M T, Yu X, Chen Z Y.Evolution and developing trend of the Jiujiang River course of the Yangtze River in recent forty years[J].Scientia Geographica Sinica, 2004, 24(1):76-82.

[7] 周文鑫, 何隆华, 马荣华, 等.基于面向对象的TM_LBV变换水体信息提取[J].中国科学院研究生院学报, 2012, 29(6):775-779. Zhou W X, He L H, Ma R H, et al.Extraction of water information based on LBV transformation of TM image using the object-oriented method[J].Journal of Graduate University of Chinese Academy of Sciences, 2012, 29(6):775-779.

[8] 宋杨, 李长辉, 林鸿.面向对象的eCognition遥感影像分类识别技术应用[J].地理空间信息, 2012, 10(2):64-66. Song Y, Li C H, Lin H.Object extraction techniques of remote sensing images based on object-oriented eCognition software[J].Geospatial Information, 2012, 10(2):64-66.

[9] 徐京萍, 赵建华, 张丰收, 等.面向对象的池塘养殖用海信息提取[J].国土资源遥感, 2013, 25(1):82-85. Xu J P, Zhao J H, Zhang F S, et al.Object-oriented information extraction of pond aquaculture[J].Remote Sensing for Land and Resources, 2013, 25(1):82-85.

[10] 王培培.基于ETM影像的水体信息自动提取与分类研究[J].首都师范大学学报:自然科学版, 2009, 30(6):75-79. Wang P P.Automatic extraction and classification of water body from ETM image[J].Journal of Capital Normal University:Natural Sciences Edition, 2009, 30(6):75-79.

[11] 孙小霞, 张继贤, 刘正军.利用面向对象的分类方法从IKONOS全色影像中提取河流和道路[J].测绘科学, 2006, 31(1):62-63. Sun X X, Zhang J X, Liu Z J.Extracting the river and the road using an object oriented technique from IKONOS panchromatic imagery[J].Science of Surveying and Mapping, 2006, 31(1):62-63.

[12] 陈婧, 邓一兵.基于ETM+遥感影像水体信息提取方法探讨[J].测绘与空间地理信息, 2011, 34(1):177-180. Chen J, Deng Y B.Study on method of extracting water information from ETM+remote sensing images[J].Geomatics and Spatial Information Technology, 2011, 34(1):177-180.

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