A Deep Learning Approach to an Enhanced Building Footprint and Road Detection in High-Resolution Satellite Imagery

Christian Ayala, Rubén Sesma, Carlos Aranda, Mikel Galar

Open source

DOI: 10.3390/rs13163135
Published: 08
Container: Remote Sensing
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/rs13163135,
  title = {A Deep Learning Approach to an Enhanced Building Footprint and Road Detection in High-Resolution Satellite Imagery},
  author = {Christian Ayala and Rubén Sesma and Carlos Aranda and Mikel Galar},
  year = {2021},
  journal = {Remote Sensing},
  doi = {10.3390/rs13163135},
  url = {https://doi.org/10.3390/rs13163135}
}

RIS

TY  - JOUR
TI  - A Deep Learning Approach to an Enhanced Building Footprint and Road Detection in High-Resolution Satellite Imagery
AU  - Christian Ayala
AU  - Rubén Sesma
AU  - Carlos Aranda
AU  - Mikel Galar
PY  - 2021
JO  - Remote Sensing
DO  - 10.3390/rs13163135
UR  - https://doi.org/10.3390/rs13163135
ER  -

APA

Ayala, C., Sesma, R., Aranda, C., & Galar, M. (2021). A Deep Learning Approach to an Enhanced Building Footprint and Road Detection in High-Resolution Satellite Imagery. Remote Sensing. https://doi.org/10.3390/rs13163135

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doaj · retrieved 2026-09-25T04:15:56.024Z