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Forest biomass estimation from airborne LiDAR data using machine learning approaches
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Support vector machines in remote sensing: a review
Mountrakis, G., Im, J., & Ogole, C. (2011) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2010.11.001 · Cited by 3,473
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Cited by
Duncanson, L., Kellner, J. R., Armston, J., Dubayah, R., Minor, D. M., Hancock, S., Healey, S. P., Patterson, P. L., Saarela, S., Marselis, S., et al. (2022) · Remote Sensing of Environment · doi:10.1016/j.rse.2021.112845 · Cited by 495
Liu, T., & Abd-Elrahman, A. (2018) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2018.03.006 · Cited by 103
A Review of Embedded Machine Learning Based on Hardware, Application, and Sensing Scheme
Biglari, A., & Tang, W. (2023) · Sensors · doi:10.3390/s23042131 · Cited by 86
Ghosh, A., & Joshi, P. K. (2014) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2014.07.003 · Cited by 69
Metadata
- Authors
- Gleason, C. J., & Im, J.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2012-10
- Volume
- 125
- Pages
- 80-91
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W1978642993
- Cited by
- 329
- References
- 1
- FWCI
- 11.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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