Automatic building detection and land use classification in urban areas using multispectral high-spatial resolution imagery and LiDAR data
- DOI
- 10.5565/rev/elcvia.584
- Published
- 2014-06-07
- Container
- ELCVIA Electronic Letters on Computer Vision and Image Analysis
- Publisher
- Universitat Autonoma de Barcelona
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.5565/rev/elcvia.584,
title = {Automatic building detection and land use classification in urban areas using multispectral high-spatial resolution imagery and LiDAR data},
author = {Txomin Hermosilla},
year = {2014},
journal = {ELCVIA Electronic Letters on Computer Vision and Image Analysis},
doi = {10.5565/rev/elcvia.584},
url = {https://doi.org/10.5565/rev/elcvia.584}
}RIS
TY - JOUR TI - Automatic building detection and land use classification in urban areas using multispectral high-spatial resolution imagery and LiDAR data AU - Txomin Hermosilla PY - 2014 JO - ELCVIA Electronic Letters on Computer Vision and Image Analysis DO - 10.5565/rev/elcvia.584 UR - https://doi.org/10.5565/rev/elcvia.584 ER -
APA
Hermosilla, T. (2014). Automatic building detection and land use classification in urban areas using multispectral high-spatial resolution imagery and LiDAR data. ELCVIA Electronic Letters on Computer Vision and Image Analysis. https://doi.org/10.5565/rev/elcvia.584
Source records
- crossref · retrieved 2026-09-25T01:54:50.668Z