Based on multi-spectral remote sensing image data of CBERS and using information quantity, correlation

matrix and OIF method, the authors analyzed image band characteristics and obtained the overall cognition of image

data. Through drawing spectral curves of land cover sample average values, this paper deals with land cover

spectral characteristics in five bands and describes land cover reflection characteristics of each band. Based on

typical land cover sample data, the authors drew the box plots for five bands and two means of PC1 and NDVI and

further analyzed land cover characteristics. Using the Z-test method, this paper got the optimal texture measures

for the discrimination of different land covers. Using the object-oriented classification technique, the authors

carried out classification experiments, and the results obtained have verified the effectiveness of applying CBERS

remote sensing imagery to wetland cover classification, enriched methods for inland wetland cover extraction, and

expanded the application field of CBERS remote sensing image.