Fig. 3
From: Projection Kernel regularization for diffusion-based multimodal remote sensing segmentation
Examples from the Vaihingen and Potsdam datasets are illustrated. (a) and (b) are two samples from Vaihingen, (c) and (d) are two samples from Potsdam. The size is \(2048 \times 2048\).The first row shows the orthophotos with three channels (NIRRG for Vaihingen and RGB for Potsdam). The second and third rows present the corresponding pixel-wise depth information and ground truth labels. They show the individual and complementary characteristics of remote sensing data from different sources.
