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HyperSpectral classification with adapti...

Aldea, Victor Stefan...

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HyperSpectral classification with adaptively weighted L1-norm regularization and spatial postprocessing by Aldea, Victor Stefan ( Author )

Content Provider	Lemonjar Open Access
Publisher	Australian National University
Publication Date	06-09-2023
Summary	Sparse regression methods have been proven effective in a wide range of signal processing problems such as image compression, speech coding, channel equalization, linear regression and classification. In this paper a new convex method of hyperspectral image classification is developed based on the sparse unmixing algorithm SUnSAL for which a pixel adaptive L1-norm regularization term is introduced. To further enhance class separability, the algorithm is kernelized using an RBF kernel and the final results are improved by a combination of spatial pre and post-processing operations. It is shown that the proposed method is competitive with state of the art algorithms such as SVM-CK, KSOMP-CK and KSSP-CK.
ISBN	-
Item Type	Article
File Type	pdf
File Size	29.34 KB
Language	English
Subjects	-
Unlimited	MYR 0.01
Total read	-
URL	http://arxiv.org/abs/1412.2684

Citation

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AMA 11th EditionReferences

Aldea, Victor Stefan. HyperSpectral classification with adaptively weighted L1-norm regularization and spatial postprocessing. Australian National University. September 06, 2023. Accessed September 20, 2024. https://online.provdatabase.com/cite/24024

APA 7th EditionReferences

Aldea, Victor Stefan. (2023). HyperSpectral classification with adaptively weighted L1-norm regularization and spatial postprocessing. Australian National University. https://online.provdatabase.com/cite/24024

Chicago 17th EditionReferences

Aldea, Victor Stefan. HyperSpectral classification with adaptively weighted L1-norm regularization and spatial postprocessing. Australian National University. 2023. https://online.provdatabase.com/cite/24024

HarvardReferences

Aldea, Victor Stefan. (2023). HyperSpectral classification with adaptively weighted L1-norm regularization and spatial postprocessing. [Online]. Australian National University. Available from: https://online.provdatabase.com/cite/24024. (Accessed 20 September 2024).

Harvard AustraliaReferences

Aldea, Victor Stefan, 2023, HyperSpectral classification with adaptively weighted L1-norm regularization and spatial postprocessing, Australian National University, viewed 20 September 2024, <https://online.provdatabase.com/cite/24024>

MLA 9th EditionWorks Cited

Aldea, Victor Stefan. HyperSpectral classification with adaptively weighted L1-norm regularization and spatial postprocessing. Australian National University, 2023. PROV Database, https://online.provdatabase.com/cite/24024.

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