Our method considers both the visual layer and the conceptual layer of the image to complete the SAR-to-optical image translation task. The model is able to preserve the contours and textures of the SAR image, while more closely approximates the colors of the ground truth. The experimental ...
The translated optical image can then be used in assisted interpretation of SAR image by ordinary people. Imagine that, with such a translation tool, any person without any background knowledge of radar, could be able to understand the primary information contained in SAR images. This could ...
), locally normalized image feature transform (LNIFT) (Li et al., 2022b), optical-SAR scale-invariant feature transform (OS-SIFT) (Xiang et al., 2018), etc.) are usually adapted to the differences in heterogenous images by improving some traditional feature descriptors such as the scale-...
Ley, A., d’Hondt, O., Valade, S., Ha ̈nsch, R. and Hellwich, O., 2018. Exploiting GAN-based SAR to optical image transcoding for improved classification via deep learning. In: Proc. EUSAR, Aachen, Germany, pp. 396–401. Marmanis, D., Yao, W., Adam, F.Datcu, M., Reina...
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 ...
image processingside-scan-sonarseagrass meadowsCabrera ArchipielagoMediterranean SeaThe optical flow method is an approach to motion analysis in the field of computer vision. This method is implemented here to deal with rotational and deformational ice motion, for which the area correlation method shows...
Most recent CD methods bring image translation to reduce their difference, but the results are obtained by ordinary algebraic methods and threshold segmentation with limited accuracy. Towards this end, this work proposes a deep translation based change detection network (DTCDN) for optical and SAR ...
Un-preventable reflected path signals can be suppressed by using GPS antenna arrays with adaptive null steering. A GPS signal simulator can be used to generate expected GPS signals and then processing may be used to extract interference form the signal. ...
FsDAOD: Few-shot domain adaptation object detection for heterogeneous SAR image 2025, Science of Remote Sensing Show abstract Efficient End-to-End Diffusion Model for One-Step SAR-to-Optical Translation 2025, IEEE Geoscience and Remote Sensing Letters Research Progress of Deep Learning Technology for...
Super-resolving is performed in an end-to-end manner, operating exclusively on SAR image. Specifically, the proposed OGSRN consists of a SAR image Super-Resolution U-Net (SRUN) and a SAR-to-Optical Residual Translation Network (SORTN). And the whole training process includes two stages. In...