Inspired by the AdaBoost theory that weak classifiers can be integrated into strong classifiers, a prototypical network is proposed that adaptively weights the features into strong feature representation. First, each sample is treated as a weak classifier, its weight is calculated by measuring the in...
(RSIs). In ScasMNet, cropped Digital Surface Model (DSM) data and corresponding RGB data are fed into the network via two distinct paths. In the encoder stage, one branch utilizes convolution to extract height information from DSM images layer by layer, enabling better differentiation of trees...