一种基于多特征波段岩土层次分类方法

岩土分类与一般地表的地物分类相比难度大得多，针对已有的分类方法（监督分类和非监督分类）对于岩土分类精度不高、分类效果欠佳问题提出一种基于多特征波段岩土层次分类方法。它是一种自顶向下、逐步求精的层次分类方法，该方法结合无监督分类和监督分类两种分类方法的优势，利用多个特征波段组合，有层次地将不同类型的岩土体逐步分开，实现对岩土的精确分类。对北京市怀柔山区附近的ASTER影像数据进行的岩土分类实验结果表明，基于多特征波段岩土层次分类识别方法能显著提高岩土分类精度，总体精度提高10%，Kappa系数提高了0.1，并且能识别以往分类识别方法难以区分的岩石阴影和水体等地物，能够有效地克服“同物异谱”现象。

Hierarchical Classification of Rock and Soil Based on Characteristic Multi-Band Image

The classification of soil and rock is more difficult than classification of general terrain surfaces. The traditional methods (supervised classification and unsupervised classification) often yield to low accuracies and poor classification effects when applied to soil and rock classification, a new hierarchical classification algorithm based on characteristic multi-band image is proposed. The new algorithm is a top-down, gradually refinement hierarchical classification method which combines with both advantages of supervised classification and unsupervised classification. The new proposed method achieved the high accurate classification of soil and rock by separating rock and soil step by step hierarchically while making use of several characteristic band groups. Experimental results show that the new proposed method has better performance in improving the classification accuracies, the overall accuracy increases 10% and Kappa coefficient improves 0.1. Also, the new method can overcome “same things with different spectrums” phenomenon effectively.