The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Statistics of real-world hyperspectral images
Abstract
Hyperspectral images provide higher spectral resolution than typical RGB images by including per-pixel irradiance measurements in a number of narrow bands of wavelength in the visible spectrum. The additional spectral resolution may be useful for many visual tasks, including segmentation, recognition, and relighting. Vision systems that seek to capture and exploit hyperspectral data should benefit from statistical models of natural hyperspectral images, but at present, relatively little is known about their structure. Using a new collection of fifty hyperspectral images of indoor and outdoor scenes, we derive an optimized “spatio-spectral basis” for representing hyperspectral image patches, and explore statistical models for the coefficients in this basis.
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Cites
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Cited by
HSCNN+: Advanced CNN-Based Hyperspectral Recovery from RGB Images
Shi, Z., Chen, C., Xiong, Z., Liu, D., & Wu, F. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2018.00139 · Cited by 339
High-quality hyperspectral reconstruction using a spectral prior
Choi, I., Jeon, D. S., Nam, G., Gutierrez, D., & Kim, M. H. (2017) · ACM Transactions on Graphics · doi:10.1145/3130800.3130810 · Cited by 320
Spatial-spectral encoded compressive hyperspectral imaging
Lin, X., Liu, Y., Wu, J., & Dai, Q. (2014) · ACM Transactions on Graphics · doi:10.1145/2661229.2661262 · Cited by 309
Sparse Spatio-spectral Representation for Hyperspectral Image Super-resolution
Akhtar, N., Shafait, F., & Mian, A. (2014) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-10584-0_5 · Cited by 284
Spectral imaging with deep learning
Huang, L., Luo, R., Liu, X., & Hao, X. (2022) · Light: Science & Applications · doi:10.1038/s41377-022-00743-6 · Cited by 283
Metadata
- Authors
- Chakrabarti, A., & Zickler, T.
- Venue
- CVPR 2011
- Publisher
- IEEE
- Published
- 2011-06
- Pages
- 193-200
- OpenAlex
- W2012946078
- Cited by
- 620
- References
- 31
- FWCI
- 20.10
- Type
- conference paper
- Language
- en
- Open access
- closed
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