Spatial-Spectral Features-Based Dimensionality Reduction Technique for Robust Multivariate Image Classification

Author:

Pathare Amit R.,Joshi Atul S.

Publisher

Springer Nature Singapore

Reference18 articles.

1. Wise BM, Geladi P, A brief introduction to multivariate image analysis (MIA)

2. Pu H, Chen Z, Wang B, A novel spatial–spectral similarity measure for dimensionality reduction and classification of hyperspectral imagery. IEEE Trans Geosci Remote Sens 52(11)

3. Praveen B, Menon V (2021) Study of spatial–spectral feature extraction frameworks with 3-D convolutional neural network for robust hyperspectral imagery classification. IEEE J Select Topics Appl Earth Observat Remote Sens 14

4. Finney DJ (1977) Dimensions of stat. J Royal Stat Soc Series C (Applied Stat) 26(3):285–289

5. Prats-Montalbán JM, de Juan A, Ferrer A (2011) Hyperspectral image analysis: a review with applications. Chemom Intell Lab Syst 107(1):1–23

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