Oct 25, 2022 · In this work, we construct a novel deep encoder with kernel-wise Taylor series (EKTS) for HSI classification.
Unlike current deep learning methods, our EKTS has no free parameters to be trained and combines the advantages of both shallow and deep features to predict ...
Oct 22, 2024 · To remedy such deficiencies, in this work, we construct a novel deep encoder with kernel-wise Taylor series (EKTS) for the HSI classification.
This article presents a novel deep network with irregular convolutional kernels and self-expressive property (DIKS) for the classification of hyperspectral ...
To remedy such deficiencies, in this work, we construct a novel deep encoder with kernel-wise Taylor series (EKTS) for the HSI classification. More specifically ...
期刊：IEEE Transactions on Geoscience and Remote Sensing 文献作者：Changda Xing; Jianlong Zhao; Chaowei Duan; Zhisheng Wang; Meiling Wang 出版日期：2022--
Deep Encoder With Kernel-Wise Taylor Series for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022). [c8]. view. electronic ...
Deep Encoder With Kernel-Wise Taylor Series for Hyperspectral Image Classification. Changda Xing, J. Zhao, Chaowei Duan, Zhisheng Wang, Meiling Wang. 2022 ...
Aug 11, 2021 · Many research works focus on building a deep learning model for HSI classification with few labeled samples.
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Deep Encoder With Kernel-Wise Taylor Series for Hyperspectral Image Classification ... This work constructs a novel deep encoder with kernel-wise Taylor series ...