Prob-POS: A Framework for Improving Visual Explanations from Convolutional Neural Networks for Remote Sensing Image Classification
During the past decades, convolutional neural network (CNN)-based models have achieved notable success in remote sensing image classification due to their powerful feature representation ability.However, the lack of explainability during the decision-making process is a common criticism of these high-capacity networks.Local explanation methods that