Overall, optical-radar image fusion improved urban LULC classification. The choice of how LULC classes are aggregated and which algorithm is chosen were found to be critical in achieving adequate results for urban mapping.doi:10.1080/07038992.2014.976700...
Abstract: The development and characteristics of high-resolution optical/SAR satellites are introduced. Geometric radiometric calibration is an important means to improve the image quality. The basic principles of optical/SAR geometric r...
Feature based registration algorithm has good adaptability to gray difference, rotation and scale change, such as SIFT5 and accelerated robust feature (SURF) calculation6. Among them, SIFT algorithm is widely used in optical image registration7. Yu et al.8 used the combination of spatial feature ...
Our experiments show that the proposed approach provides a substantial improvement over previous methods for SAR-optical image matching and can be used to register even large-scale scenes. This opens up the possibility of using both types of data jointly, for example for the improvement of the ...
In optical-to-SAR image registration, the SAR image is accurately aligned with the optical image. The latest satellites are providing the georeferenced remote sensing images which do not have any orientation and scaling differences [1]. The recent technologies are capable of producing the ...
Automatic optical-to-SAR image registration is considered as a challenging problem because of the inconsistency of radiometric and geometric properties. Feature-based methods have proven to be effective; however, common features are difficult to extract and match, and the robustness of those methods st...
Inspired by this, we propose a novel Optical-Guided Super-Resolution Network (OGSRN) for SAR image with large scale factors. Specifically, our proposed OGSRN consists of two sub-nets: a SAR image Super-Resolution U-Net (SRUN) and a SAR-to-Optical Residual Translation Network (SORTN). The...
Firstly, different edge detectors are employed to detect the line segments in both optical and SAR images respectively. Then, through the Hough transform and a straight line fitting and filtration method, the main straight lines of each image are extracted and their intersections are obtained and ...
Thus, the SAR image histogram exhibits a combination of Gamma distributions. The maximum likelihood technique is therefore used to estimate the histogram parameters. This technique requires knowledge of the number of modes of the histogram, the number of looks of the SAR image, and the initial ...
SAR image denoising via Bayesian wavelet shrinkage based on heavy-tailed modeling Synthetic aperture radar (SAR) images are inherently affected by multiplicative speckle noise, which is due to the coherent nature of the scattering phenom... P Tsakalides,AB Member - 《IEEE Transactions on Geoscience...