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Application of unsupervised learning of finite mixture models in ASTER VNIR data-driven land use classification 期刊论文
Journal of Spatial Science, 2019, 页码: 1–24
Authors:  Bo Zhao;  Fan Yang;  Rongzhen Zhang;  Junping Shen;  Jürgen Pilz;  Dehui Zhang
Adobe PDF(4880Kb)  |  Favorite  |  View/Download:176/0  |  Submit date:2020/12/09
Mixture Gaussian Distribution  land Use  topographical Analysis  remote Sensing