Classification of Very High Resolution Aerial Photos Using Spectral-Spatial Convolutional Neural Networks

Figure 2

The ground truth samples over the study area, which were manually selected for seven land cover classes, for example, road, water body, grassland, building, dense vegetation, shadow, and barren land. The number in the brackets indicates the number of pixels in each class.