Two Specific Multiple-Level-Set Models for High-Resolution Remote-Sensing Image Classification

Abstract

This letter adopts level-set methods in order to seek a novel classification strategy in which classification is free of segmentation. A region-driven multiple-level-set (MLS) framework is used to perform very high resolution image classification. Two specific unsupervised classification models are presented. First, from the point of view of feature fusion… (More)
DOI: 10.1109/LGRS.2009.2021166

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Cite this paper

@article{Ma2009TwoSM, title={Two Specific Multiple-Level-Set Models for High-Resolution Remote-Sensing Image Classification}, author={Hongchao Ma and Yun Yang}, journal={IEEE Geoscience and Remote Sensing Letters}, year={2009}, volume={6}, pages={558-561} }