Research on Band Selection of MODIS Data
MODIS belonged to the new generation of optical and thermal remote sensor that combines both images and spectrum is one of the most important sources for observing land surface change and analyzing the development of terrestrial biosphere. It is very important to determine the optimal band sets from its 36 bands according to specific application purpose for further management analysis and information extraction of multi-spectral dada. Based on the analysis of selection criteria, a subspace-divisionbased (SD) method was proposed after the comprehensive contrary of current modish methods. Then one swath MODIS data covered Beijing was disposed for supervised classification experiment to validate the suitability of this method. The validation demonstrated that the accuracy of land using cover classification using the 12 bands selected by SD method is 92.04％ without other auxiliary data in medium-scale spatial resolution.
band selection MODIS classification subspace-division
WANG Rui Li Jia Guo Yu Tao Meng Qing Yan LI Hu He Guang Jun
College of Geographical Sciences, Fujian Normal University, Fuzhou 350007 Institute of Remote Sensin Institute of Remote Sensing Applications, CAS, Beijing 100101 College of Geographical Sciences, Fujian Normal University, Fuzhou 350007
国际会议
哈尔滨
英文
1236-1240
2011-12-24（万方平台首次上网日期，不代表论文的发表时间）