A new road extraction method using Sentinel-1 SAR images based on the deep fully convolutional neural network
- DOI
- 10.1080/22797254.2019.1694447
- Published
- 2019-01
- Container
- European Journal of Remote Sensing
- Publisher
- Informa UK Limited
- 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:10.1080/22797254.2019.1694447,
title = {A new road extraction method using Sentinel-1 SAR images based on the deep fully convolutional neural network},
author = {Qianqian Zhang and Qingling Kong and Chao Zhang and Shucheng You and Hai Wei and Ruizhi Sun and Li Li},
year = {2019},
journal = {European Journal of Remote Sensing},
doi = {10.1080/22797254.2019.1694447},
url = {https://doi.org/10.1080/22797254.2019.1694447}
}RIS
TY - JOUR TI - A new road extraction method using Sentinel-1 SAR images based on the deep fully convolutional neural network AU - Qianqian Zhang AU - Qingling Kong AU - Chao Zhang AU - Shucheng You AU - Hai Wei AU - Ruizhi Sun AU - Li Li PY - 2019 JO - European Journal of Remote Sensing DO - 10.1080/22797254.2019.1694447 UR - https://doi.org/10.1080/22797254.2019.1694447 ER -
APA
Zhang, Q., Kong, Q., Zhang, C., You, S., Wei, H., Sun, R., & Li, L. (2019). A new road extraction method using Sentinel-1 SAR images based on the deep fully convolutional neural network. European Journal of Remote Sensing. https://doi.org/10.1080/22797254.2019.1694447
Source records
- crossref · retrieved 2026-09-25T14:59:19.602Z