Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Geography and Geo-Information Science》 2010-06
Add to Favorite Get Latest Update

Research on Salinity Inversion from Remote Sensing of Saline Soil Based on BP Neural Network

FAN Yan-guo,HOU Chun-ling,ZHU Hao,WU Teng-teng,SUN Yuan-fang(College of Geo-Resource and Information,China University of Petroleum,Qingdao 266555,China)  
The research on salinity inversion from remote sensing with the measured spectral data and salinity data has been done using remote sensing technology and BP neural network technology.The model was designed and implemented by programming.The forecast accuracy of BP neural network model is 62.5%,better than statistical model.The experiment confirms that BP neural network can simulate the relationship between soil salinity and spectral data,which shows that it is feasible to use this method in salinity inversion from remote sensing.
【Fund】: 山东省科技攻关项目(2008GG10009018);山东省科技计划项目(J08LD55)
【CateGory Index】: S156.4;S127
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【Citations】
Chinese Journal Full-text Database 1 Hits
1 Liu Qingsheng, Liu Gaohuan (State Key Laboratory of Resources and Environmental Information System, CAS, Beijing 100101);The Simple Analysis on Water-Salt and Field Spectral Characteristics of Calcaric Fluvisols in the Yellow River Delta[J];Chinese Agricultural Science Bulletin;2008-03
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 Alkam Kadir1,Hamit Yimit1,2,Hamit Ishmeal1,Rabigul Kasim3(1.Resource and Environmental College of Xinjiang University,Key Laboratory of Oasis Ecology,Ministry of Education, Urumqi 830046,China;2.International Research Center for Desert AffairsResearch for Sustainable Development in Semiarid and Arid Land,Urumqi 830046 China;3.The Bureau of Land Reasources of Aksu City,Aksu 843000,China);Introductory Study of Remote Sensing Monitoring on Soil Salinization Distribution of Ugan-Kucha River Delta[J];Environmental Science and Management;2008-02
2 Liu Zhongmin(Anshan Environmental Monitoring Center Station,Anshan 114004,China);Remote-sensing Investigation of the Change of the View-pattern of the Iron Ore Mines around Anshan[J];Environmental Science and Management;2008-06
3 XING Qi~1,LIU Ai-jun~1,LIU Yong-zhi~2,GAO Wa~1(1.Inner Mongolia Rangeland Survey Institute Huhhot, Inner Mongolia Autonomous Region, 010051 China;2.Inner Mongolia Academy of Animal Science, Huhhot, Inner Mongolia Autonomous Region, 010030 China);Study on Change Rangeland Vegetation, Change Using MODIS-NDVI in Xilinguole Grassland[J];Acta Agrestia Sinica;2005-S1
4 YU Dehao1,2,DENG Zhengdong1,LONG Fan2,WANG Daqing1,GOU Yizheng1,GUAN Hongjun1 (1.Engineering Institute of Engineering Corps,PLA Univ. of Sci. & Tech.,Nanjing 210007; 2 Engineering Research Institute,Shenyang Military Area Command,Shenyang 110162);Research on Shallow Groundwater Information Extraction Technique Based on MNDWI[J];Journal of Changchun University of Science and Technology(Natural Science Edition);2009-01
5 ZHANG Zhitao LI Yuan-nong DENG Guoqing LI Jianli WU Wei LIU Xiaoqiang;The Applications and Studies on Land Use Abstracting by Classes from TM Image[J];Standardization for Surveying and Mapping;2005-03
6 WU Wen-bo,LIU Zheng-gang(Dept.of Surveying Engineering,Liaoning Technical University,Fuxin 123000,China);A method of the best band combination selection based on spectral characteristics of surface features[J];Engineering of Surveying and Mapping;2007-06
7 MA Jing,YU Jie,ZHANG Ji-xian,ZHANG Yong-hong,BI Qiang,WANG Guang-liang,YANG Jing-hui,LONG Yan(Chinese Academy of Surveying & Mapping,Beijing 100039;School of Remote Sensing Infomation Engineering,Wuhan University,Wuhan 430079;Jilin Province Water Resource and Hy-dropower Consultative Company,Changchun 130012);Application research of image fusion technology on dynamic monitoring of land use[J];Science of Surveying and Mapping;2007-02
8 WANG Guang-liang①②,LI Ying-cheng②,ZENG Yu③②,JIN Lan②①China University of Geosciences,Beijing 100083,China;②Chinese Academy of Surveying and Mapping,Beijing 100039,China;③Shandong University of Science and Technology,Qingdao Shandong 266510,China);Comparison and analysis of pixel-level image fusion algorithms applicable to ALOS data[J];Science of Surveying and Mapping;2008-06
9 CHEN Chen,ZHANG You-jing(School of Civil engineering,Hohai University,Nanjing 210098,China);The classification of SVM based on the multi-scale texture information and spectral information[J];Science of Surveying and Mapping;2009-01
10 YIN Zuo-xia①, DU Pei-jun①, CHEN Yun-hao②, TAN Kun①(①Department of Remote Sensing and Geographical Information Science, China University of Mining and Technology, Xuzhou 221008, China;②College of Resources Science, Beijing Normal University, Beijing 100875, China);Object-oriented target identification from hyperspectral remote sensing image[J];Science of Surveying and Mapping;2009-02
China Proceedings of conference Full-text Database 3 Hits
1 FAN Wei1,2 (1.Anhui Institute of Meteorological Sciences, Hefei 230031, China; 2. Key Laboratory of Atmospheric Sciences and Satellite Remote Sensing of Anhui Province, Hefei 230031, China);Optimal channels selection for underlying surface classification using orthogonal subspace projection algorithm[A];[C];2007
2 Xu Gengran (Institute of Surveying and Mapping, Department of Lands and Resource of Guangdong Province, Guangzhou, 510500 China);Review of The Digital Orthophoto Map Production for the Second Land Survey of Guangdong Province[A];[C];2010
3 ;广东省第二次土地调查底图生产的回顾[A];[C];2010
【Secondary Citations】
Chinese Journal Full-text Database 4 Hits
1 XU Yuan-jin,HU Guang-dao,ZHANG Zhen- fa Institute of Mathematical and Remote Sensing Geology, China University of Geosciences,Wuhan 430074, China;Continuum Removal and Its Application to the Spectrum Classification of Field Object[J];Geography and Geo-Information Science;2005-06
2 WENG Yong-Ling~(1,2),GONG Peng~(1,3,4)(1.International Institute for Earth System Science,Nanjing University,Nanjing,Jiangsu 210093;2.Department of Surveying and Mapping Engineering,College of Transportation,Southeast University,Nanjing,Jiangsu 210096; 3.State Key Laboratory of Remote Sensing Science,Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University,Beijing 100101; 4.Department of Environment Science,Policy and Management,University of California,Berkeley,USA);A Review on Remote Sensing Technique for Salt-Affected Soils[J];Scientia Geographica Sinica;2006-03
3 WU Yun zhao ①② TIAN Qing jiu ② JI Jun feng ① CHEN Jun ① HUI Feng ming ②(①Department of Earth sciences,Nanjing University,Nanjing,210093; ②International Institute for Earth system science,Nanjing University,Nanjing,210093);Soil Remote Sensing Research Theory Method and Application[J];Remote Sensing Information;2003-01
4 Liu Qingsheng,Liu Gaohuan,Su Haibin(State Key Laboratory of Resources and Environmental Information System,CAS,Beijing 100101);Preliminary Study on the Relationships between Soil Electrical Conductivity and Soil Suction in Modern Yellow River Delta[J];Chinese Agricultural Science Bulletin;2007-09
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved