Fig. 5From: CEU-Net: ensemble semantic segmentation of hyperspectral images using clusteringRuntime analysis for single U-Net and CEU-Net for each dataset. The empirically optimal feature reduction technique was used before each semantic segmentation: PCA. Bands were reduced to 30. This figure shows the dramatic difference in runtime when employing patching. Patching greatly increases the runtime of semantic segmentation models. CPC was used with a patch size of 10 x 10Back to article page