【论文笔记】Heterogeneous Transfer Learning for HSIC Based on CNN

X. He, Y. Chen and P. Ghamisi, “Heterogeneous Transfer Learning for Hyperspectral Image Classification Based on Convolutional Neural Network,” in IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 5, pp. 3246-3263, May 2020, doi: 10.1109/TGRS.2019.2951445.
He X , Chen Y , Ghamisi P . Heterogeneous Transfer Learning for Hyperspectral Image Classification Based on Convolutional Neural Network[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, PP(99):1-18.

1.贡献点

1. 提出了一种利用迁移学习的新网络HT-CNN。由mapping layer、transfer learning layer和CNN三部分组成，其中mapping layer可以解决ImageNet和HSI通道数不同的问题。
   
2. 利用attention m

最后

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