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The Scientific World Journal
Volume 2013, Article ID 192982, 7 pages
Research Article

A Method of Spatial Mapping and Reclassification for High-Spatial-Resolution Remote Sensing Image Classification

1Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
2University of Chinese Academy of Sciences, Beijing 100049, China

Received 24 September 2013; Accepted 19 November 2013

Academic Editors: Z. Hou and R. D. J. Romero-Troncoso

Copyright © 2013 Guizhou Wang 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.

Citations to this Article [4 citations]

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  • Mohammadali Sarparandeh, and Ardeshir Hezarkhani, “Studying distribution of rare earth elements by classifiers, Se-Chahun iron ore, Central Iran,” Acta Geochimica, 2016. View at Publisher · View at Google Scholar
  • Yunwei Tang, Linhai Jing, Hui Li, Qingjie Liu, Qi Yan, and Xiuxia Li, “Bamboo Classification Using WorldView-2 Imagery of Giant Panda Habitat in a Large Shaded Area in Wolong, Sichuan Province, China,” Sensors, vol. 16, no. 11, pp. 1957, 2016. View at Publisher · View at Google Scholar
  • Yunwei Tang, Hui Li, Linhai Jing, and Peter M. Atkinson, “A multiple-point spatially weighted k-NN method for object-based classification,” International Journal of Applied Earth Observation and Geoinformation, vol. 52, pp. 263–274, 2016. View at Publisher · View at Google Scholar
  • Zhichao Li, Thibault Catry, Nadine Dessay, Helen da Costa Gurgel, Cláudio Aparecido de Almeida, Christovam Barcellos, and Emmanuel Roux, “Regionalization of a Landscape-Based Hazard Index of Malaria Transmission: An Example of the State of Amapá, Brazil,” Data, vol. 2, no. 4, pp. 37, 2017. View at Publisher · View at Google Scholar