Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification
Hyungtae Lee,
Sungmin Eum,
Heesung Kwon
Abstract:A pretrain-finetune strategy is widely used to reduce the overfitting that can occur when data is insufficient for CNN training. First few layers of a CNN pretrained on a large-scale RGB dataset are capable of acquiring general image characteristics which are remarkably effective in tasks targeted for different RGB datasets. However, when it comes down to hyperspectral domain where each domain has its unique spectral properties, the pretrain-finetune strategy no longer can be deployed in a conventional way whi… Show more
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