利用深度学习的方法进行红外图像和可见光图像的融合，该方法受启发于最近比较流行的迁移学习，利用可见光的数据集训练网络，从而提取出红外和可见光图像的特征，最后进行图像的融合。

Packet : imagefusion_resnet50-master(1).zip filelist
imagefusion_resnet50-master/
imagefusion_resnet50-master/IV_images/
imagefusion_resnet50-master/IV_images/IV_images.zip
imagefusion_resnet50-master/README.md
imagefusion_resnet50-master/experiment_data/
imagefusion_resnet50-master/experiment_data/resnet_zca_IV.xlsx
imagefusion_resnet50-master/figures/
imagefusion_resnet50-master/figures/framework.png
imagefusion_resnet50-master/figures/results.png
imagefusion_resnet50-master/figures/soft_max.png
imagefusion_resnet50-master/figures/zca_l1norm.png
imagefusion_resnet50-master/figures/zca_operation.png
imagefusion_resnet50-master/fused_infrared/
imagefusion_resnet50-master/fused_infrared/fused_infrared.zip
imagefusion_resnet50-master/fusion_method_ResNet50_main.m
imagefusion_resnet50-master/fusion_strategy.m
imagefusion_resnet50-master/make_3c.m
imagefusion_resnet50-master/models/
imagefusion_resnet50-master/models/README.md
imagefusion_resnet50-master/whitening_norm.m
imagefusion_resnet50-master/zca.m

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