LTC_1b-SAR-Younis-v6s
Motivation for Spaceborne SAR - Complementary information to optical systems (e.g. polarimetry) F-SAR, Kaufbeuren, Germany
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Optical Module Silicon Photonics Co-packaged Optics
SAR and Optical Image Registration Based on Deep Learning with
In this paper, a deep learning-based registration method with a co-attention matching module (CAMM) for SAR and optical images is proposed, which integrates structural feature maps of
An unpaired SAR-to-optical image translation method based on
The process involves two modal domain transitions, which create challenges for SAR-to-Optical imaging tasks due to different imaging principles, texture details and colour styles.
An Integrated Segmentation Framework Utilizing
The framework introduces a novel fusion module inspired by the principle of Mamba. This module selects effective features from different
SAR Image Object Detection and Information Extraction:
Unlike conventional optical sensors, SAR systems are unaffected by environmental factors such as cloud cover or varying illumination, which allows
Robust Optical and SAR Image Matching Using Attention-Enhanced
Robust Optical and SAR Image Matching Using Attention-Enhanced Structural Features Published in: IEEE Transactions on Geoscience and Remote Sensing ( Volume: 62 )
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A Survey on SAR and Optical Satellite Image Registration
After decades of research, automatic synthetic aperture radar (SAR)-optical registration remains an unsolved problem. SAR
SAR-optical feature matching: A large-scale patch dataset and a deep
In this paper, we hope to promote the development of learning-based SAR and optical feature matching and create a high-quality SAR-optical patch dataset with 650 000 matching patch
OMA‐SSR: Optical‐guided multi‐kernel attention based
In the optical guidance module, we introduce a multi-modal mutual attention module (MMA) to capture the complementary relationship between SAR
Learning SAR-to-Optical Image Translation via Diffusion Models With
Synthetic aperture radar (SAR) and optical sensing are two important means of Earth observation. SAR-to-optical image translation (S2OIT) can integrate the advantages of both and assist SAR image
SOMA: Feature Gradient Enhanced Affine-Flow Matching for SAR
To this end, we propose a dense matching framework for SAR and optical image registration, termed SOMA (SAR-Optical MAtching), which integrates the proposed FGE and GLAM modules within an
Robust Optical and SAR Image Matching via Attention
In this study, we proposed an attention-context-aware deep learning framework (ACAMatch) for robust and efficient optical–SAR image registration.
GlobalFoundries accelerates adoption of co-packaged optics for
SCALE CPO solution is the industry''s first OCI MSA capable platform and built with GF''s proven silicon photonics technology MALTA, N.Y., May 4, 2026 – GlobalFoundries (Nasdaq: GFS)
An Optical and SAR Sensor Image Fusion Method Based on
There are significant differences between optical and synthetic aperture radar (SAR) sensor image data, and extracting complementary features useful for subsequent tasks from image data acquired by
Robust Optical and SAR Image Matching Using Attention-Enhanced
Due to the complementary nature of optical and synthetic aperture radar (SAR) images, their alignment is of increasing interest. However, due to the significant radiometric differences between them,
SAR In Defense: A Game-Changer For Modern Warfare
SAR the rapidly evolving landscape of defense technology, Synthetic Aperture Radar (SAR) has emerged as a critical tool for military operations.
GCEPANet: A lightweight and efficient remote sensing image cloud
To mitigate severe cloud interference in optical remote sensing imagery and address the challenges of deploying complex cloud removal models on satellite platforms, this study proposes a lightweight
Synthetic Aperture Radar (SAR) Satellite Solutions
Synthetic Aperture Radar (SAR) satellites provide remote sensing solutions for all-weather, 24/7 imaging. Unlike optical sensors, SAR satellite technology
Deep Learning for SAR-Optical Image Matching
The automatic matching of corresponding regions in remote sensing imagery acquired by synthetic aperture radar (SAR) and optical sensors is a crucial pre-reques
Optical and SAR image registration based on feature
The dataset includes 300 optical images and 300 synthetic aperture radar (SAR) images, covering various terrains and environments such as urban
A Multimodal Semantic Segmentation Framework for Heterogeneous Optical
The advancement of remote sensing technology has led to a progressive enhancement in the resolution of remote sensing data, offering a multiperspective approach to Earth observation and facilitating a
Unpaired Object-Level SAR-to-Optical Image Translation for Aircraft
To address these issues, this study proposes a keypoint-guided diffusion model (KeypointDiff) for SAR-to-optical image translation of unpaired aircraft targets. This framework
TAR: Text Semantic Assisted Cross-modal Image Registration
Existing deep learning-based methods can capture shared features from optical and synthetic aperture radar (SAR) images for spatial alignment. However, optical-SAR registration
OMA‐SSR: Optical‐guided multi‐kernel attention based
Inspired by this, an optical-guided multi-kernel attention based SAR image super-resolution reconstruction network (OMA-SSR) is proposed. The
Grid-Reg: Detector-Free Gridized Feature Learning and Matching for
Due to the lack of such a challenging benchmark dataset for large-scale SAR and optical image registration, we curate a new benchmark dataset utlizing UAV MiniSAR imagery and the
Synthetic aperture radar and optical image registration using local and
The registration of synthetic aperture radar (SAR) and optical images is a meaningful but challenging multimodal task. Due to the large radiometric differences between SAR and optical