The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Multi- and hyperspectral geologic remote sensing: A review
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Cites
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
Mars Surface Diversity as Revealed by the OMEGA/Mars Express Observations
Bibring, J.-P., Langevin, Y., Gendrin, A., Gondet, B., Poulet, F., Berthé, M., Soufflot, A., Arvidson, R., Mangold, N., Mustard, J., et al. (2005) · Science · doi:10.1126/science.1108806 · Cited by 973
Hydrated silicate minerals on Mars observed by the Mars Reconnaissance Orbiter CRISM instrument
Mustard, J. F., Murchie, S. L., Pelkey, S. M., Ehlmann, B. L., Milliken, R. E., Grant, J. A., Bibring, J.-P., Poulet, F., Bishop, J., Dobrea, E. N., et al. (2008) · Nature · doi:10.1038/nature07097 · Cited by 794
Cited by
Remote Sensing for Landslide Investigations: An Overview of Recent Achievements and Perspectives
Scaioni, M., Longoni, L., Melillo, V., & Papini, M. (2014) · Remote Sensing · doi:10.3390/rs6109600 · Cited by 424
A review of machine learning in processing remote sensing data for mineral exploration
Shirmard, H., Farahbakhsh, E., Müller, R. D., & Chandra, R. (2022) · Remote Sensing of Environment · doi:10.1016/j.rse.2021.112750 · Cited by 420
Hyperspectral image analysis. A tutorial
Amigo, J. M., Babamoradi, H., & Elcoroaristizabal, S. (2015) · Analytica Chimica Acta · doi:10.1016/j.aca.2015.09.030 · Cited by 379
Han, W., Zhang, X., Wang, Y., Wang, L., Huang, X., Li, J., Wang, S., Chen, W., Li, X., Feng, R., et al. (2023) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2023.05.032 · Cited by 303
Potential of ESA's Sentinel-2 for geological applications
van der Meer, F. D., van der Werff, H. M. A., & van Ruitenbeek, F. J. A. (2014) · Remote Sensing of Environment · doi:10.1016/j.rse.2014.03.022 · Cited by 289
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Metadata
- Authors
- van der Meer, F. D., van der Werff, H. M. A., van Ruitenbeek, F. J. A., Hecker, C. A., Bakker, W. H., Noomen, M. F., van der Meijde, M., Carranza, E. J. M., Smeth, J. B. D., & Woldai, T.
- Venue
- International Journal of Applied Earth Observation and Geoinformation
- Publisher
- Elsevier BV
- Published
- 2012-02
- Volume
- 14
- Issue
- 1
- Pages
- 112-128
- ISSN
- 0303-2434 (ISSN-L)
- 1569-8432
- OpenAlex
- W2100921418
- Cited by
- 1,165
- References
- 3
- FWCI
- 27.50
- Type
- journal article
- Language
- en
- Open access
- bronze
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- The paper
- van der Meer, F. D., van der Werff, H. M. A., van Ruitenbeek, F. J. A., Hecker, C. A., Bakker, W. H., Noomen, M. F., van der Meijde, M., Carranza, E. J. M., Smeth, J. B. D., & Woldai, T. (2012). Multi- and hyperspectral geologic remote sensing: A review. International Journal of Applied Earth Observation and Geoinformation. https://doi.org/10.1016/j.jag.2011.08.002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
