A top-down approach for semantic segmentation of big remote sensing images

Wadii Boulila

DOI: 10.1007/s12145-018-00376-7
Published: 2019-01-05
Container: Earth Science Informatics
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1007/s12145-018-00376-7,
  title = {A top-down approach for semantic segmentation of big remote sensing images},
  author = {Wadii Boulila},
  year = {2019},
  journal = {Earth Science Informatics},
  doi = {10.1007/s12145-018-00376-7},
  url = {https://doi.org/10.1007/s12145-018-00376-7}
}

RIS

TY  - JOUR
TI  - A top-down approach for semantic segmentation of big remote sensing images
AU  - Wadii Boulila
PY  - 2019
JO  - Earth Science Informatics
DO  - 10.1007/s12145-018-00376-7
UR  - https://doi.org/10.1007/s12145-018-00376-7
ER  -

APA

Boulila, W. (2019). A top-down approach for semantic segmentation of big remote sensing images. Earth Science Informatics. https://doi.org/10.1007/s12145-018-00376-7

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hal · retrieved 2026-09-26T00:40:53.362Z