Modified Hierarchical k-Nearest Neighbor Method with Application to Land-cover Classification

摘要

In this paper, we propose a land-cover classification method based on a modied hierarchical k-nearest neighbor(MHkNN) algorithm to achieve a high classification accuracy. The proposed method introduces a reliabilitymeasure for each training sample, which is defined as confidence in the sample belonging to each of the consideredclasses. The method performs the majority voting considering not only the number of the training samples,but also their reliabilities. The classification performance of the proposed method is compared to that of theconventional land-cover classication methods. The effectiveness of the proposed method is veried by applyingit to real remote sensing images.