Multi-GPU Implementation of Nearest-Regularized Subspace Classifier for Hyperspectral Image Classification
The classification of hyperspectral imagery (HSI) is an important part of HSI applications. The nearest-regularized subspace (NRS) is an effective method to classify HSI as one of the sparse representation methods. However, its high computational complexity confines usage in a time-critical scene. I...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9122452/ |