Localizing desired objects from remote sensing images is of great use in...
Unmanned aerial vehicles (UAVs) are now widely applied to data acquisiti...
Most publicly available datasets for image classification are with singl...
Aerial scene recognition is a fundamental visual task and has attracted ...
Aerial scene recognition is a fundamental research problem in interpreti...
Band selection refers to the process of choosing the most relevant bands...
Training Convolutional Neural Networks (CNNs) for very high resolution i...
Object retrieval and reconstruction from very high resolution (VHR) synt...
Deep learning in remote sensing has become an international hype, but it...
Building segmentation is of great importance in the task of remote sensi...
Visual crowd counting has been recently studied as a way to enable peopl...
Along with the increasing use of unmanned aerial vehicles (UAVs), large
...
Access to labeled reference data is one of the grand challenges in super...
Multi-label classification plays a momentous role in perceiving intricat...
Most current semantic segmentation approaches fall back on deep convolut...
Most current semantic segmentation approaches fall back on deep convolut...
Aerial image classification is of great significance in remote sensing
c...