A Hybrid Approach Using Wavelet and 2D Convolutional Neural Network for Hyperspectral Image Classification
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0085-5_33
Reference33 articles.
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3. Chen Y, Jiang H, Li C, Jia X, Ghamisi P (2016) Deep feature extraction and classification of hyperspectral images based on convolutional neural networks. IEEE Trans Geosci Rem Sens 54(10):6232–6251. https://doi.org/10.1109/TGRS.2016.2584107
4. Vaddi R, Manoharan P (2020) Hyperspectral image classification using CNN with spectral and spatial features integration. Infrared Phys Technol 107. https://doi.org/10.1016/j.infrared.2020.103296
5. Paoletti ME, Haut JM, Plaza J, Plaza A (2018) A new deep convolutional neural network for fast hyperspectral image classification. ISPRS J Photogramm Rem Sens 145:120–147. https://doi.org/10.1016/j.isprsjprs.2017.11.021
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