Research and Application of Land Cover Hierarchical Classification Approach Using Multinomial Logit Models

Since there exists the objective phenomenon that different classes sharing the same spectral characteristics,a hierarchical categorical mapping approach is developed using generalized linear models.According to the similarities of spectral characteristics,different classes of high similar spectral characteristics are merged into the same one.Then a hierarchical modeling scheme is formed.Different predictor variables are chosen to build different multinomial Logit models to extract classes in different layers.Mask technique is employed to extract thematic maps step by step.Ultimately,all thematic maps are incorporated into a whole one.Experimental results show that the hierarchical modeling using generalized linear models is an effective approach to improve land cover mapping quality.