Hyperspectral Data Based On Hsi Rice Spectral Feature Analysis And Recognition Technology Research

Rice is the main grain crop in china, obtaining punctually and exactly rice area and other information is beneficial for the guarantee of the country's food supply security and trade security.The traditional remote-sensing monitoring of rice mainly focused use of TM imagery,CCD imagery of CBERS satellite and MODIS data. The HSI imagery of HJ-1A Satellite is not researched in domestic rice identification. the region of yulin city-bobai country in guangxi was used as research area,many works was done as follows:(1)HSI Imagery Introduction and Proprecessing:the article introduced the character of HSI imagery,etc.some proprecessing work were done,such as data format transformation , absolute radiance value transformation,FLAASH atmospheric correction,poor quality band removal and Geometric Correction,etc.( 2 ) The Spectral Difference of Rice and other geo-objects : After preprocessing of HSI imagery, the distribution of rice and other geo-objects were obtained according to the summary of the research area and the Multispectral CCD Imagery of HJ-1A Satellite,The analysis of spectral difference was researched based on the spectral curve of different geo-objects,which laid a strong theoretical foundation for Band Selection .(3)The research of Band Selection methods:Band Selection methods were introduced based on the Information of Band and the Class Separability. the innovative approach of Band Selection,the combination of Band Informationt and Class Separability,was raised by the foundation of the above methods. The top 30 band of HSI imagery were reserved as the result of band selection according to the score of different bands in some two geo-objects,which made good bedding for the following Classification.(4)The Identification of Rice in research area based on the method of SVM: The Identification of Rice in HSI Imagery were introduced by the methods of SVM and MLC.the collusion was as follows:In classification accuracy,after Band Selection,the result of HSI imagery based on SVM is the best result,then, the result of HSI Imagery based on MLC is the better result,finally, because of not Band Selection,the result of HSI Imagery is lower,but the result of SVM is higher than MLC under the circumstance.So,it is essential to select Band in Hyperspectral Remote Sensing,and the SVM have the advantage of Hyperspectral Imagery Classification. Under the guidance of SVM method,compared the accuracy of Rice in HSI Imagery with the accuracy of Rice in the same temporal CCD Imagery,the overall accuracy of the former which was 89.46% was lower than the latter,but the HSI imagery still had the good classification accuracy.