GlobeSAR mission is an international cooperation program
there are twelve countries participated in the program.GlobeSAR data are the first and sole airborne
dual-frequency and fully-polarized SAR data sets of covering the Chinese territory.This paper systematically presents the study results of GlobeSAR program in China.The radar backscatter intensity visualization model has been proposed to study the backscatter behaviors of various targets.Rice and euryale ferox received more attention than other targets
their backscatter behaviors in relation to frequency and polarization
and polarimetric features and responses are carefully studied.The geometric and radiometric correction
speckle noise filtering
image registration are applied to the multifrequency
multipolarization GlobeSAR data sets.The assessment of classification accuracy for maximum likelihood
neural net
and texture information added neural net classifiers shows that the texture information added neural net classifers achieved the highest accuracy.GlobeSAR images discriminated eleven land cover types
two forest types.Finally
the GlobeSAR data application results in agriculture