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Mathematical Problems in Engineering
Volume 2015, Article ID 182439, 8 pages
http://dx.doi.org/10.1155/2015/182439
Research Article

Object-Oriented Semisupervised Classification of VHR Images by Combining MedLDA and a Bilateral Filter

1The Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China
2The State-Province Joint Engineering Laboratory of Spatial Information Technology for High-Speed Railway Safety and Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China

Received 8 July 2015; Accepted 29 October 2015

Academic Editor: Fons J. Verbeek

Copyright © 2015 Shi He et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Shi He, Hong Tang, Jing Li, Yang Shu, and Li Shen, “Object-Oriented Semisupervised Classification of VHR Images by Combining MedLDA and a Bilateral Filter,” Mathematical Problems in Engineering, vol. 2015, Article ID 182439, 8 pages, 2015. https://doi.org/10.1155/2015/182439.