经典的灰度共生矩阵纹理计算方法，D-S证据理论数据融合，结合PCA的尺度不变特征变换(SIFT)算法。- Classic GLCM texture calculation method, D-S evidence theory data fusion, Combined with PCA scale invariant feature transform (SIFT) algorithm.

用于特征降维，特征融合，相关分析等,最小二乘回归分析算法，结合PCA的尺度不变特征变换(SIFT)算法。- For feature reduction, feature fusion, correlation analysis, Least-squares regression analysis algorithm, Combined with PCA scale invariant feature transform (SIFT) algorithm.

结合PCA的尺度不变特征变换(SIFT)算法，用于特征降维，特征融合，相关分析等,能量谱分析计算。- Combined with PCA scale invariant feature transform (SIFT) algorithm, For feature reduction, feature fusion, correlation analysis, Energy spectrum analysis and calculation.