The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Analysis of spectral absorption features in hyperspectral imagery
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Citations
Cites
High spectral resolution reflectance spectroscopy of minerals
Clark, R. N., King, T. V. V., Klejwa, M., Swayze, G. A., & Vergo, N. (1990) · Journal of Geophysical Research: Solid Earth · doi:10.1029/jb095ib08p12653 · Cited by 1,641
Remote sensing of foliar chemistry
Curran, P. J. (1989) · Remote Sensing of Environment · doi:10.1016/0034-4257(89)90069-2 · Cited by 1,575
Spectral signatures of particulate minerals in the visible and near infrared
Hunt, G. R. (1977) · Geophysics · doi:10.1190/1.1440721 · Cited by 1,363
Development of Reflectance Spectral Libraries for Characterization of Soil Properties
Shepherd, K. D., & Walsh, M. (2002) · Soil Science Society of America Journal · doi:10.2136/sssaj2002.0988 · Cited by 1,025
Kokaly, R. F. (1999) · Remote Sensing of Environment · doi:10.1016/s0034-4257(98)00084-4 · Cited by 894
Clark, R. N., Swayze, G. A., Livo, K. E., Kokaly, R. F., Sutley, S. J., Dalton, J. B., McDougal, R. R., & Gent, C. A. (2003) · Journal of Geophysical Research: Planets · doi:10.1029/2002je001847 · Cited by 845
Adams, J. B. (1974) · Journal of Geophysical Research Atmospheres · doi:10.1029/jb079i032p04829 · Cited by 704
Estimating the foliar biochemical concentration of leaves with reflectance spectrometry
Curran, P. J., Dungan, J., & Peterson, D. L. (2001) · Remote Sensing of Environment · doi:10.1016/s0034-4257(01)00182-1 · Cited by 455
Fourty, T., Baret, F., Jacquemoud, S., Schmuck, G., & Verdebout, J. (1996) · Remote Sensing of Environment · doi:10.1016/0034-4257(95)00234-0 · Cited by 425
Remote sensing of canopy chemistry and nitrogen cycling in temperate forest ecosystems
Wessman, C. A., Aber, J. D., Peterson, D. L., & Melillo, J. M. (1988) · Nature · doi:10.1038/335154a0 · Cited by 345
Cited by
Deep learning-based classification of hyperspectral data
Chen, Y., Lin, Z., Zhao, X., Wang, G., & Gu, Y. (2014) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2014.2329330 · Cited by 2,679
Spectral-spatial classification of hyperspectral data based on deep belief network
Chen, Y., Zhao, X., & Jia, X. (2015) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2015.2388577 · Cited by 1,259
A Novel Filter-Based Anomaly Detection Framework for Hyperspectral Imagery
Wang, W., Song, W., Li, Z., Zhao, B., & Zhao, B. (2021) · IEEE Access · doi:10.1109/access.2021.3110791 · Cited by 7
Metadata
- Authors
- van der Meer, F.
- Venue
- International Journal of Applied Earth Observation and Geoinformation
- Publisher
- Elsevier BV
- Published
- 2004-02
- Volume
- 5
- Issue
- 1
- Pages
- 55-68
- ISSN
- 0303-2434 (ISSN-L)
- 1569-8432
- OpenAlex
- W2076961568
- Cited by
- 414
- References
- 19
- FWCI
- 3.18
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: Analysis of spectral absorption features in hyperspectral imagery. https://app.cochat.ai/papers/10.1016/j.jag.2003.09.001
- The paper
- van der Meer, F. (2004). Analysis of spectral absorption features in hyperspectral imagery. International Journal of Applied Earth Observation and Geoinformation. https://doi.org/10.1016/j.jag.2003.09.001
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.
