Study on Inversion of Soil Salinity with Hyperspectral Remote Sensing

摘要：

One experimental area in the city of DaQing in Heilongjiang province is took as an example to perform the quantitative inversion of soil salinity using Hyperion data in this paper. The inversion method of soil salinity using Hyperion data is discussed by the image preprocessing, the feature extraction and the establishment of BP neural network model. It gives a lot of help in soil survey system and promoting the development in quantitative retrieval of soil salinity .Meanwhile ,this model provide reference for solving other non linear problems .If we have profit train data ,this model can do the retrieval of other parameter

关键词： soil salinity Hyperion data inversion BP neural network model

作者: LIU Dandan ZHANG Yujuan

作者单位: Surveying and Mapping Engineering,Heilongjiang Institute of Technology,Harbin,150050

会议类型: 国际会议

会议名称: 2011 International Symposium on Geospatial Information Technology & Disaster Prevention and Reduction(2011地球空间信息与防灾减灾国际学术研讨会)

会议地点: 成都

会议语种:英文

页码: 290-293

在线出版日期: 2011-05-13（万方平台首次上网日期，不代表论文的发表时间）