Identification of tree species has always challenged the remote sensing research.However,GF-2 images be used for identifying ground objects and classifying tree species have the great research potential.Based on the data of GF-2 4-meter multispectral images of Daofu County of Ganzi Prefecture in Sichuan Province were combined with Forest Resource Inventory Data.The maximum likelihood classification and support vector machine(SVM) method were used for classification of trees.The possibility of using the GF-2 data for species identification applications was explored. The results show that the two methods for identifying the main tree species are better than the accuracy of 80% in the study area.The maximum likelihood classification accuracy is 81.79%,SVM classification accuracy 86.75%.With the support of prior knowledge,GF-2 multispectral images can also be used to study the species identification.
YIN Lingyu
,
QIN Xianlin
,
SUN Guifen
,
ZU Xiaofeng
,
CHEN Xiaozhong
. Tree Species Identification Method Based on GF-2 Images[J]. Forest and Grassland Resources Research, 2016
, 0(4)
: 121
-127
.
DOI: 10.13466/j.cnki.lyzygl.2016.04.022
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