Taking Optimal Advantage of Fine Spatial Resolution: Promoting partial image reconstruction for the morphological analysis of very-high-resolution images

Wenzhi Liao, Jocelyn Chanussot, Mauro Dalla Mura, Xin Huang, Rik Bellens, Sidharta Gautama, Wilfried Philips

DOI: 10.1109/mgrs.2017.2663666
Published: 2017-06
Container: IEEE geoscience and remote sensing magazine
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1109/mgrs.2017.2663666,
  title = {Taking Optimal Advantage of Fine Spatial Resolution: Promoting partial image reconstruction for the morphological analysis of very-high-resolution images},
  author = {Wenzhi Liao and Jocelyn Chanussot and Mauro Dalla Mura and Xin Huang and Rik Bellens and Sidharta Gautama and Wilfried Philips},
  year = {2017},
  journal = {IEEE geoscience and remote sensing magazine},
  doi = {10.1109/mgrs.2017.2663666},
  url = {https://doi.org/10.1109/mgrs.2017.2663666}
}

RIS

TY  - JOUR
TI  - Taking Optimal Advantage of Fine Spatial Resolution: Promoting partial image reconstruction for the morphological analysis of very-high-resolution images
AU  - Wenzhi Liao
AU  - Jocelyn Chanussot
AU  - Mauro Dalla Mura
AU  - Xin Huang
AU  - Rik Bellens
AU  - Sidharta Gautama
AU  - Wilfried Philips
PY  - 2017
JO  - IEEE geoscience and remote sensing magazine
DO  - 10.1109/mgrs.2017.2663666
UR  - https://doi.org/10.1109/mgrs.2017.2663666
ER  -

APA

Liao, W., Chanussot, J., Mura, M. D., Huang, X., Bellens, R., Gautama, S., & Philips, W. (2017). Taking Optimal Advantage of Fine Spatial Resolution: Promoting partial image reconstruction for the morphological analysis of very-high-resolution images. IEEE geoscience and remote sensing magazine. https://doi.org/10.1109/mgrs.2017.2663666

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hal · retrieved 2026-09-25T21:18:38.037Z