Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery
- DOI
- 10.48550/arxiv.1801.04018
- Published
- 2018
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.1801.04018,
title = {Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery},
author = {Camilo, Joseph and Wang, Rui and Collins, Leslie M. and Bradbury, Kyle and Malof, Jordan M.},
year = {2018},
doi = {10.48550/arxiv.1801.04018},
url = {https://doi.org/10.48550/arxiv.1801.04018}
}RIS
TY - JOUR TI - Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery AU - Camilo, Joseph AU - Wang, Rui AU - Collins, Leslie M. AU - Bradbury, Kyle AU - Malof, Jordan M. PY - 2018 DO - 10.48550/arxiv.1801.04018 UR - https://doi.org/10.48550/arxiv.1801.04018 ER -
APA
Joseph, C., Rui, W., M., C. L., Kyle, B., & M., M. J. (2018). Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery. https://doi.org/10.48550/arxiv.1801.04018
Source records
- datacite · retrieved 2026-09-26T06:27:05.767Z