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Taking optimal advantage of fine spatial information : promoting partial image reconstruction for the morphological analysis of very-high-resolution images

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Chicago
Liao, Wenzhi, Jocelyn Chanussot, Mauro Dalla Mura, Xin Huang, Rik Bellens, Sidharta Gautama, and Wilfried Philips. 2017. “Taking Optimal Advantage of Fine Spatial Information : Promoting Partial Image Reconstruction for the Morphological Analysis of Very-high-resolution Images.” Ed. Lorenzo Bruzzone. Ieee Geoscience and Remote Sensing Magazine 5 (2): 8–28.
APA
Liao, Wenzhi, Chanussot, J., Dalla Mura, M., Huang, X., Bellens, R., Gautama, S., & Philips, W. (2017). Taking optimal advantage of fine spatial information : promoting partial image reconstruction for the morphological analysis of very-high-resolution images. (L. Bruzzone, Ed.)IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE , 5(2), 8–28.
Vancouver
1.
Liao W, Chanussot J, Dalla Mura M, Huang X, Bellens R, Gautama S, et al. Taking optimal advantage of fine spatial information : promoting partial image reconstruction for the morphological analysis of very-high-resolution images. Bruzzone L, editor. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE . IEEE: IEEE Geoscience and Remote Sensing Society; 2017;5(2):8–28.
MLA
Liao, Wenzhi, Jocelyn Chanussot, Mauro Dalla Mura, et al. “Taking Optimal Advantage of Fine Spatial Information : Promoting Partial Image Reconstruction for the Morphological Analysis of Very-high-resolution Images.” Ed. Lorenzo Bruzzone. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE 5.2 (2017): 8–28. Print.
@article{8523665,
  author       = {Liao, Wenzhi and Chanussot, Jocelyn and Dalla Mura, Mauro and Huang, Xin and Bellens, Rik and Gautama, Sidharta and Philips, Wilfried},
  editor       = {Bruzzone, Lorenzo },
  issn         = {2168-6831 },
  journal      = {IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE },
  language     = {eng},
  number       = {2},
  pages        = {8--28},
  publisher    = {IEEE Geoscience and Remote Sensing Society},
  title        = {Taking optimal advantage of fine spatial information : promoting partial image reconstruction for the morphological analysis of very-high-resolution images},
  url          = {http://dx.doi.org/10.1109/MGRS.2017.2663666},
  volume       = {5},
  year         = {2017},
}

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