Joint Sparsity in SAR Tomography for Urban Mapping
نویسندگان
چکیده
منابع مشابه
Compressive SAR Imaging with Joint Sparsity and Local Similarity Exploitation
Compressive sensing-based synthetic aperture radar (SAR) imaging has shown its superior capability in high-resolution image formation. However, most of those works focus on the scenes that can be sparsely represented in fixed spaces. When dealing with complicated scenes, these fixed spaces lack adaptivity in characterizing varied image contents. To solve this problem, a new compressive sensing-...
متن کاملAn Iterative Algorithm with Joint Sparsity Constraints for Magnetic Tomography
Magnetic tomography is an ill-posed and ill-conditioned inverse problem since, in general, the solution is non-unique and the measured magnetic field is affected by high noise. We use a joint sparsity constraint to regularize the magnetic inverse problem. This leads to a minimization problem whose solution can be approximated by an iterative thresholded Landweber algorithm. The algorithm is pro...
متن کاملUrban Land-cover Mapping with High-resolution Spaceborne SAR Data
.................................................................................................. I Acknowledgements ............................................................................. III List of Appended Papers ...................................................................... VI
متن کاملRapid Urban Mapping Using SAR/Optical Imagery Synergy
This paper highlights the potential of combining Synthetic Aperture Radar (SAR) and optical data for operational rapid urban mapping. An algorithm consisting of a completely unsupervised procedure for processing pairs of co-registered SAR/optical images is proposed. In a first stage, a texture analysis is conducted independently on the two images using eight different chain-based Gaussian model...
متن کاملDetermination of height of urban buildings based on non-parametric estimation of signal spectrum in SAR data tomography
Nowadays, the TomoSAR technique has been able to overcome the limitations of radar interferometry techniques in separating multiple scatterers of pixels. By extending the principles of virtual aperture in the elevation direction, these techniques pay much attention in the analysis of urban challenging areas. Despite the expectation of interference of the distribution of buildings with different...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Journal of Selected Topics in Signal Processing
سال: 2015
ISSN: 1932-4553,1941-0484
DOI: 10.1109/jstsp.2015.2469646