The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Segmentation and classification of hyperspectral images using watershed transformation
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Cites
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
Watersheds in digital spaces: an efficient algorithm based on immersion simulations
Vincent, L., & Soille, P. (1991) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.87344 · Cited by 5,649
Morphological Image Analysis: Principles and Applications
(2000) · Sensor Review · doi:10.1108/sr.2000.08720cae.001 · Cited by 3,537
On the mean accuracy of statistical pattern recognizers
Hughes, G. (1968) · IEEE Transactions on Information Theory · doi:10.1109/tit.1968.1054102 · Cited by 2,859
Remote Sensing Digital Image Analysis: An Introduction
Richards, J. A., & Jia, X. (2006) · Springer eBooks · doi:10.1007/3-540-29711-1 · Cited by 2,759
Green, A. A., Berman, M., Switzer, P., & Craig, M. D. (1988) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.3001 · Cited by 2,615
Soille, P. (1999) · Springer eBooks · doi:10.1007/978-3-662-03939-7 · Cited by 1,977
Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)
Green, R. O., Eastwood, M. L., Sarture, C. M., Chrien, T. G., Aronsson, M., Chippendale, B. J., Faust, J. A., Pavri, B. E., Chovit, C. J., Solis, M., et al. (1998) · Remote Sensing of Environment · doi:10.1016/s0034-4257(98)00064-9 · Cited by 1,851
Recent advances in techniques for hyperspectral image processing
Plaza, A., Benediktsson, J. A., Boardman, J. W., Brazile, J., Bruzzone, L., Camps-Valls, G., Chanussot, J., Fauvel, M., Gamba, P., Gualtieri, A., et al. (2009) · Remote Sensing of Environment · doi:10.1016/j.rse.2007.07.028 · Cited by 1,687
Self-citationKernel-based methods for hyperspectral image classification
Camps-Valls, G., & Bruzzone, L. (2005) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2005.846154 · Cited by 1,453
Cited by
Hyperspectral remote sensing data analysis and future challenges
Bioucas-Dias, J. M., Plaza, A., Camps-Valls, G., Scheunders, P., Nasrabadi, N., & Chanussot, J. (2013) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2013.2244672 · Cited by 2,223
Self-citationSpectral–Spatial Hyperspectral Image Classification With Edge-Preserving Filtering
Kang, X., Li, S., & Benediktsson, J. A. (2014) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2013.2264508 · Cited by 704
Self-citationHe, L., Li, J., Liu, C., & Li, S. (2018) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2017.2765364 · Cited by 630
Ghamisi, P., Maggiori, E., Li, S., Souza, R., Tarablaka, Y., Moser, G., De Giorgi, A., Fang, L., Chen, Y., Chi, M., et al. (2018) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2018.2854840 · Cited by 325
Self-citationLopez-Fandino, J., Quesada-Barriuso, P., Heras, D. B., & Arguello, F. (2015) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2014.2384133 · Cited by 57
Metadata
- Authors
- Tarabalka, Y., Chanussot, J., & Benediktsson, J. A.
- Venue
- Pattern Recognition
- Publisher
- Elsevier BV
- Published
- 2010-07
- Volume
- 43
- Issue
- 7
- Pages
- 2367-2379
- ISSN
- 0031-3203 (ISSN-L)
- OpenAlex
- W2149471024
- Cited by
- 561
- References
- 35
- FWCI
- 71.41
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Segmentation and classification of hyperspectral images using watershed transformation. https://app.cochat.ai/papers/10.1016/j.patcog.2010.01.016
- The paper
- Tarabalka, Y., Chanussot, J., & Benediktsson, J. A. (2010). Segmentation and classification of hyperspectral images using watershed transformation. Pattern Recognition. https://doi.org/10.1016/j.patcog.2010.01.016
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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.
