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This paper develops a mathematical theory of super-resolution. Broadly speaking, superresolution is the problem of recovering the fine details of an object—the high end of its spectrum— from coarse sc...
We present a framework to super-resolve planar regions found in urban scenes and other man-made environments by taking into account their 3D geometry. Such regions have highly structured straight edge...
In single-molecule microscopy it is necessary to locate with high precision point sources from noisy observations of the spectrum of the signal at frequencies capped by fc, which is just about the fre...
iring accurate detection and description of buildings is a difficult object recognition problem due to a high complexity of the scene content and the object representation. Since most urban scenes d...
Automated and reliable 3D city model acquisition is an increasing demand. Automatic road extraction from dense urban areas is a challenging issue due to the high complex image scene. From imagery, t...
High resolution TerraSAR-X/TanDEM-X as well as Sentinel-1 remote sensing Synthetic Aperture Radar (SAR) data are used to determine and monitor the waterline in the Wadden Sea. In this very unique and ...
Felyx is currently under development and is the latest evolution of a generalised High Resolution Diagnostic Data Set system funded by ESA. It draws on previous prototype developments and experience i...
The multi-temporal interferometric synthetic aperture radar (InSAR) technology has proven very useful in extracting surface deformation with time series of SAR images over a study area. To increase sp...
Super-Resolution (SR) is a technique to construct a high-resolution (HR) frame by fusing a group of low-resolution (LR)frames describing the same scene. The effectiveness of the conventional super-res...
Radar remote sensing has a significant role in remote sensing technologies and develops rapidly. A series of new synthetic aperture radar (SAR) satellites has been launched to space having various ope...
The short-time Fourier transform (STFT) is a classical tool, used for characterizing the time varying signals. The limitation of the STFT is its fixed time-frequency resolution. Thus, an enhanced vers...
In view of the fact that road network detection effect in high-resolution image is not satisfying, an approach for road network detection based on Bayesian Network is put forward in this paper. First,...
High density airborne LiDAR, for example FLI-MAP 400 data, has opened an opportunity for individual tree measurement. This paper presents a method for individual tree delineation and undergrowth veg...
In this paper, we revisit the manifold assumption which has been widely adopted in the learning-based image superresolution. The assumption states that point-pairs from the high-resolution manifold s...
Super resolution technique was first proposed for enhancing the image resolution, and then it was expanded to video sequence for obtaining a higher resolution video from low resolution input. Recently...

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