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 ...
synthetic aperture radar (SAR); target recognition; SAR-to-optical image translation; deep learning; conditional generative adversarial network (cGAN) Graphical Abstract1. Introduction Target recognition in synthetic aperture radar (SAR) imagery is widely used in civil and military scenarios because SAR ...
SAR-to-optical image translation; deep learning; conditional generative adversarial networks (cGANs)1. Introduction Following advances in satellite technology in recent years, remote sensing data is now widely used to monitor land-cover changes [1,2,3]. For various land-cover types, vegetation ...
: Optical image. : SAR image. Output: : Coarse registered SAR image. 1. for =1:number of resolution levels 2. if <finest resolution level, do 3. find the initial value of translation parameters for resolution level . 4. for =1:number of iterations 5. Generate = using Bernoulli's dist...
An unpaired SAR-to-optical image translation method based on Schrdinger bridge network and multi-scale feature fusionSAR-to-optical translationSchrödinger's bridgeResidual moduleAxial attentionSAR-to-optical (S2O) translation is able to covert SAR into optical images, which help the interpreter to ...
Deep-learning-based image translation based on high-resolution synthetic aperture radar (SAR) images is investigated as a method of restoring cloud-occlusion areas in optical satellite images. To train SAR and optical images, a Fast Fourier Convolution block was added to the unpaired image-to-...
Based on the EPC, the EPCGAN is presented for SAR-to-optical image translation. It uses a gradient branch to assist in the recovery of structural image information. Experiments on the SEN1-2 dataset demonstrated that the proposed method can outperform other SAR-to-optical methods by recovering...
SAR-to-Optical Image Translation and Cloud Removal Based on Conditional Generative Adversarial Networks: Literature Survey, Taxonomy, Evaluation Indicators, Limits and Future DirectionsGENERATIVE adversarial networksSYNTHETIC aperture radarOPTICAL images
Secondly, addressing the scarcity of SAR-optical image pairs, data augmentation that does not leak the augmented mode into the generated mode is designed to optimize data effciency. The proposed SAR-to-optical image translation method is thoroughly evaluated using the SAR2Opt...
The tentative study demonstrated the potential of the SAR and the optical image translation based on the CycleGAN. The proposed method was verified and the experimental results showed the superiority of the proposed method with the combined loss function.Jieon Hwang...