R-IMNet: Spatial-Temporal Evolution Analysis of Resource-Exhausted Urban Land Based on Residual-Intelligent Module Network

Chunyang Wang, Yingjie Zhang, Xifang Wu, Wei Yang, Haiyang Qiang, Bibo Lu, Jianlong Wang

Open source

DOI: 10.3390/rs14092185
Published: 2022-05-03
Container: Remote Sensing
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/rs14092185,
  title = {R-IMNet: Spatial-Temporal Evolution Analysis of Resource-Exhausted Urban Land Based on Residual-Intelligent Module Network},
  author = {Chunyang Wang and Yingjie Zhang and Xifang Wu and Wei Yang and Haiyang Qiang and Bibo Lu and Jianlong Wang},
  year = {2022},
  journal = {Remote Sensing},
  doi = {10.3390/rs14092185},
  url = {https://doi.org/10.3390/rs14092185}
}

RIS

TY  - JOUR
TI  - R-IMNet: Spatial-Temporal Evolution Analysis of Resource-Exhausted Urban Land Based on Residual-Intelligent Module Network
AU  - Chunyang Wang
AU  - Yingjie Zhang
AU  - Xifang Wu
AU  - Wei Yang
AU  - Haiyang Qiang
AU  - Bibo Lu
AU  - Jianlong Wang
PY  - 2022
JO  - Remote Sensing
DO  - 10.3390/rs14092185
UR  - https://doi.org/10.3390/rs14092185
ER  -

APA

Wang, C., Zhang, Y., Wu, X., Yang, W., Qiang, H., Lu, B., & Wang, J. (2022). R-IMNet: Spatial-Temporal Evolution Analysis of Resource-Exhausted Urban Land Based on Residual-Intelligent Module Network. Remote Sensing. https://doi.org/10.3390/rs14092185

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crossref · retrieved 2026-09-25T07:17:07.502Z