Stochastic Perturbations on Low-Rank Hyperspectral Data for Image Classification
International Journal of artificial intelligence research
View Publication Info| Field | Value | |
| Title |
Stochastic Perturbations on Low-Rank Hyperspectral Data for Image Classification
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| Creator |
Sumarsono, Alex
Ganjeizadeh, Farnaz Tomasi, Ryan |
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| Subject |
Artificial Intelligence; Machine Learning; Image Processing; Signal Processing;
Hyperspectral Imagery; Hyperspectral Image Processing; Low Rank and Sparse Decomposition; Stochastic Perturbations; |
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| Description |
Hyperspectral imagery (HSI) contains hundreds of narrow contiguous bands of spectral signals. These signals, which form spectral signatures, provide a wealth of information that can be used to characterize material substances. In recent years machine learning has been used extensively to classify HSI data. While many excellent HSI classifiers have been proposed and deployed, the focus has been more on the design of the algorithms. This paper presents a novel data preprocessing method (LRSP) to improve classification accuracy by applying stochastic perturbations to the low-rank constituent of the dataset. The proposed architecture is composed of a low-rank and sparse decomposition, a degradation function and a constraint least squares filter. Experimental results confirm that popular state-of-the-art HSI classifiers can produce better classification results if supplied by LRSP-altered datasets rather than the original HSI datasets.
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| Publisher |
STMIK Dharma Wacana
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| Contributor |
California State University, East Bay
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| Date |
2021-01-05
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| Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
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| Format |
application/pdf
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| Identifier |
http://ijair.id/index.php/ijair/article/view/196
10.29099/ijair.v5i1.196 |
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| Source |
International Journal of Artificial Intelligence Research; Vol 5, No 1 (2021): Articles in press; 1 - 12
2579-7298 10.29099/ijair.v5i1 |
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| Language |
eng
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| Relation |
http://ijair.id/index.php/ijair/article/view/196/pdf
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| Rights |
Copyright (c) 2021 International Journal of Artificial Intelligence Research
https://creativecommons.org/licenses/by-sa/4.0 |
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