The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Hyperspectral Target Detection : An Overview of Current and Future Challenges
Abstract
Over the last decade, hyperspectral imagery (HSI) obtained by remote sensing systems has provided significant information about the spectral characteristics of the materials in the scene. Typically, a hyperspectral spectrometer provides hundreds of narrow contiguous bands over a wide range of the electromagnetic spectrum. Hyperspectral sensors measure the reflective (or emissive) properties of objects in the visible and short-wave infrared (IR) regions (or the mid-wave and long-wave IR regions) of the spectrum. Processing of these data allows algorithms to detect and identify targets of interest in a hyperspectral scene by exploiting the spectral signatures of the materials [1], [2].
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Cites
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Cited by
Shimoni, M., Haelterman, R., & Perneel, C. (2019) · IEEE Geoscience and Remote Sensing Magazine · doi:10.1109/mgrs.2019.2902525 · Cited by 537
Graph and Total Variation Regularized Low-Rank Representation for Hyperspectral Anomaly Detection
Cheng, T., & Wang, B. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2019.2936609 · Cited by 266
Hyperspectral anomaly detection with robust graph autoencoders
Fan, G., Ma, Y., Mei, X., Fan, F., Huang, J., & Ma, J. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3097097 · Cited by 212
Jiang, T., Li, Y., Xie, W., & Du, Q. (2020) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2020.2965961 · Cited by 209
Siamese transformer network for hyperspectral image target detection
Rao, W., Gao, L., Qu, Y., Sun, X., Zhang, B., & Chanussot, J. (2022) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2022.3163173 · Cited by 134
Metadata
- Authors
- Nasrabadi, N. M.
- Venue
- IEEE Signal Processing Magazine
- Published
- 2014-01
- Volume
- 31
- Issue
- 1
- Pages
- 34-44
- ISSN
- 1053-5888 (ISSN-L)
- 1558-0792
- OpenAlex
- W2017014096
- Cited by
- 580
- References
- 33
- FWCI
- 39.50
- Type
- journal article
- Language
- en
- Open access
- closed
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