Domain shift caused by, e.g., different geographical regions or acquisit...
Change detection (CD) by comparing two bi-temporal images is a crucial t...
Disaster mapping is a critical task that often requires on-site experts ...
Multi-baseline interferometric synthetic aperture radar (InSAR) techniqu...
Building footprint information is an essential ingredient for 3-D
recons...
The domain adaptation (DA) approaches available to date are usually not ...
In this paper, we introduce Planet-CR, a benchmark dataset for
high-reso...
Earth observation, aiming at monitoring the state of planet Earth using
...
The challenge of the cloud removal task can be alleviated with the aid o...
Accurate and reliable building footprint maps are vital to urban plannin...
Generating 3D city models rapidly is crucial for many applications. Mono...
Semantic Segmentation of buildings present in satellite images using
enc...
Building extraction in VHR RSIs remains to be a challenging task due to
...
Semantic segmentation of raw 3D point clouds is an essential component i...
Deep learning in remote sensing has become an international hype, but it...
Building segmentation is of great importance in the task of remote sensi...
Multi-baseline interferometric synthetic aperture radar (InSAR) techniqu...
Building footprint maps are vital to many remote sensing applications, s...
Access to labeled reference data is one of the grand challenges in super...
Automatic building extraction from optical imagery remains a challenge d...
Tomographic SAR (TomoSAR) inversion of urban areas is an inherently spar...
Building footprint information is an essential ingredient for 3-D
recons...