SAda-Net: A Self-Supervised Adaptive Stereo Estimation CNN For Remote
Sensing Image Data
SAda-Net: A Self-Supervised Adaptive Stereo Estimation CNN For Remote
Sensing Image Data
Stereo estimation has made many advancements in recent years with the introduction of deep-learning. However the traditional supervised approach to deep-learning requires the creation of accurate and plentiful ground-truth data, which is expensive to create and not available in many situations. This is especially true for remote sensing applications, where …