Article ID Journal Published Year Pages File Type
10360895 Pattern Recognition 2013 12 Pages PDF
Abstract
► Additive morphological decomposition without any loss of information is proposed. ► Decomposition is modeled as a tensor structure. ► Tensor PCA is compared versus PCA. ► Proposed workflow performs better than other techniques in HSI classification.
Keywords
Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
Preview
Classification of hyperspectral images by tensor modeling and additive morphological decomposition
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