Abstract: Objective Linear array panoramic cameras have enabled the acquisition of 360°panoramic scenes withlinear CCD turning.It has used fewer camera stations and avoided image mosaicing in close-range pho-togrammetry.We developed a sensor and adjustment model function for linear array panoramic camer-as.We demonstrate the models for simulated data and indoor panoramic 3Dcontrol field data.Theseexperiments show that the parameters of model are logica land that these parameters accurately de-scribe the relationship of the internal structure in the linear array panoramic camera.The model is apractical calibration model for linear array panoramic cameras.method by using the arithmetic of C5.0decision tree.The new method was putted in practiced in re-mote sensing images with high resolution of GuangBa farm DongFang city,HaiNan Province.The re-sults showed that the producer’s accuracy,user’s accuracy and total accuracy of rubber woods is are81.00%,82.65%,and 83.50%respectively,and the kappa coefficient is 0.78.The results that com-paring with other classification methods indicated the method is valid for rubber woods identification.