This paper examines the theory of texture analysis for airborne multispectral images. According to their distributions in the multi-dimensional spectral space, textural features of various types of land cover are analyzed such that the texture database of remotely sensed airborne images of land cover can be established for use in following image classification. The 12-channel Daedalus DS-1260 airborne multi-spectral images of Taichung city were used and sub-images of different kinds of land cover were chosen for texture discrimination analysis. The gray-tone spatial-dependence probability-distribution matrix algorithm was applied to extract texture information of the interested land covers. Empirical results show that image texture information reveals the variation of spatial distribution of land covers and provides valuable information to the spectral classification of remotely sensed images. t, they should perform a beat swing near the bottom of the giant to increase the CM vertical velocity flight height and the rotation speed after bar release. When twisting in flight, arms should be held tightly as much as possible.