A deep learning framework for matching of SAR and optical imagery
Sign Up to like & getrecommendations! Published in 2020 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2020.09.012
Abstract: Abstract SAR and optical imagery provide highly complementary information about observed scenes. A combined use of these two modalities is thus desirable in many data fusion scenarios. However, any data fusion task requires measurements to… read more here.
Keywords: sar optical; optical imagery; imagery; matching sar ... See more keywords
Universal SAR and optical image registration via a novel SIFT framework based on nonlinear diffusion and a polar spatial-frequency descriptor
Sign Up to like & getrecommendations! Published in 2021 at "Isprs Journal of Photogrammetry and Remote Sensing"
DOI: 10.1016/j.isprsjprs.2020.10.019
Abstract: Abstract Due to severe speckle noise in synthetic aperture radar (SAR) images and the large nonlinear intensity differences between SAR and optical images, the registration of SAR and optical images is a challenging problem that… read more here.
Keywords: descriptor; framework based; based nonlinear; optical images ... See more keywords
High-Precision Pixelwise SAR–Optical Image Registration via Flow Fusion Estimation Based on an Attention Mechanism
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3172449
Abstract: Due to the severe speckle noise and complex local deformation in synthetic aperture radar (SAR) images, the problem of high-precision pixelwise registration (dense registration) between SAR and optical images remains far from resolved. In this… read more here.
Keywords: high precision; sar optical; precision pixelwise; registration ... See more keywords
Improved Semisupervised UNet Deep Learning Model for Forest Height Mapping With Satellite SAR and Optical Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3188201
Abstract: In this study, we introduce an improved semisupervised deep learning approach, and demonstrate its suitability for modeling the relationship between forest structural parameters and satellite remote sensing imagery and producing forest maps. The improved approach… read more here.
Keywords: sar optical; remote sensing; improved semisupervised; height ... See more keywords
Identifying Corresponding Patches in SAR and Optical Images With a Pseudo-Siamese CNN
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2018.2799232
Abstract: In this letter, we propose a pseudo-siamese convolutional neural network architecture that enables to solve the task of identifying corresponding patches in very high-resolution optical and synthetic aperture radar (SAR) remote sensing imagery. Using eight… read more here.
Keywords: network; identifying corresponding; pseudo siamese; corresponding patches ... See more keywords
Atrous cGAN for SAR to Optical Image Translation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3031199
Abstract: Conditional (cGAN)-based methods proposed so far for synthetic aperture radar (SAR)-to-optical image synthesis tend to produce noisy and unsharp optical outcomes. In this work, we propose the atrous-cGAN, a novel cGAN architecture that improves the… read more here.
Keywords: sar optical; optical image; image translation; atrous cgan ... See more keywords
Robust Matching for SAR and Optical Images Using Multiscale Convolutional Gradient Features
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3105567
Abstract: Image matching is a key preprocessing step for the integrated application of synthetic aperture radar (SAR) and optical images. Due to significant nonlinear intensity differences between such images, automatic matching for them is still quite… read more here.
Keywords: optical images; gradient features; sar optical; structure ... See more keywords
Phase Congruency Order-Based Local Structural Feature for SAR and Optical Image Matching
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3171587
Abstract: Automatic matching of synthetic aperture radar (SAR) and optical images is a fundamental task in many remote sensing applications. However, due to different imaging modalities, conventional matching methods provide limited performances. In this letter, based… read more here.
Keywords: sar optical; optical image; feature; local structural ... See more keywords
A Comparative Analysis of GAN-Based Methods for SAR-to-Optical Image Translation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3177001
Abstract: Unlike optical sensors, synthetic aperture radar (SAR) sensors acquire images of the Earth’s surface with all-weather and all-time capabilities, which is vital in a situation such as a disaster assessment. However, SAR sensors do not… read more here.
Keywords: sar optical; optical image; gan based; image translation ... See more keywords
A Semi-Supervised Image-to-Image Translation Framework for SAR–Optical Image Matching
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3223353
Abstract: Synthetic aperture radar (SAR) and optical image matching aims to acquire correspondences from a certain pair of SAR and optical images. Recent advances in the image-to-image translation provided a way to simplify the SAR–optical image… read more here.
Keywords: sar optical; optical image; image image; image translation ... See more keywords
Self-Supervised SAR-Optical Data Fusion of Sentinel-1/-2 Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3128072
Abstract: The effective combination of the complementary information provided by huge amount of unlabeled multisensor data (e.g., synthetic aperture radar (SAR) and optical images) is a critical issue in remote sensing. Recently, contrastive learning methods have… read more here.
Keywords: sar optical; image level; fusion; land cover ... See more keywords