Texture information can avoid the matter of ’same spectral from different materials’ and ’same material with different spectral’ which must be faced with when making classification with only spectral information of high resolution image

but few people use only texture information to distinguish different vegetation of high resolution image.This paper takes the Zhongshan scenic region of the eastern side of Nanjing City as the study area

and uses the satellite data of IKONOS to explore the methodology of discriminating the different types of vegetation.When texture information is employed

four texture statistics such as: CON（contrast）

COR（correlation）

HOM（homogeneity）

and MCON（make-up contrast） are used.In order to test the result

Vegetation index information is used as well as spectral information

three VI such as: NDVI

MSAVI and SAVI（whose values of L equal to 0.5 and 5 respectively）are used to decide the best one who stands for some vegetation type

and SAVI5（value of L is 5）does well.A threshold is selected in texture and VI information to discriminate every type.From spectral information two methods are used: minimum distance supervised classification and ISODATA unsupervised classification.When processing the image

some steps must go: firstly

recovering the IKONOS image data;secondly

discriminating the vegetation types as: grassland

garden

conifers

mixed forest and bamboo

wide-leaf forest using the different methods

including the discrimination based on the pixel spectral data

the discrimination based on vegetation index

and the discrimination based on minor texture on the images.Through comparing all results the following conclusions have been drawn: texture information has the best classification accuracy

and the VI has better result

and the spectral information only has the worst

from which the result of unsupervised classification is the lowest.We can conclude that texture information can discriminate vegetation types and other material perfectly because it response to the spectral composition and properties of some material.