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Remote Sensing, 2021 The classification of high-resolution (HR) synthetic aperture radar (SAR) images is of great importance for SAR scene interpretation and application. However, the presence of intricate spatial structural patterns and complex statistical nature makes SAR ...
Wenkai Liang +4 more
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International Journal of Applied Earth Observations and Geoinformation, 2023 Extracting difference features is a key technique for polarimetric synthetic aperture radar (PolSAR) image change detection. Although the current PolSAR change detection algorithms based on convolutional neural networks (CNNs) can capture the local ...
Zhifei Yang +4 more
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Secure and Privacy-Respecting Documentation for Interactive Manufacturing and Quality Assurance
Applied Sciences, 2021 The automated documentation of work steps is a requirement of many modern manufacturing processes. Especially when it comes to important procedures such as safety critical screw connections or weld seams, the correct and complete execution of certain ...
Paul Georg Wagner +8 more
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PolSAR Image Classification Using a Superpixel-Based Composite Kernel and Elastic Net
Remote Sensing, 2021 The presence of speckles and the absence of discriminative features make it difficult for the pixel-level polarimetric synthetic aperture radar (PolSAR) image classification to achieve more accurate and coherent interpretation results, especially in the ...
Yice Cao +4 more
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Ship Instance Segmentation Based on Rotated Bounding Boxes for SAR Images
Remote Sensing, 2023 Ship instance segmentation in synthetic aperture radar (SAR) images is a hard and challenging task, which not only locates ships but also obtains their shapes with pixel-level masks.
Xinpeng Yang +5 more
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CRITICAL REFLECTION ON QUANTITATIVE ASSESSMENT OF IMAGE FUSION QUALITY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Image fusion technique has been extended its development from multi-sensor fusion, multi-model fusion to multi-focus fusion. More and more advanced techniques such as deep learning have been integrated into the development of image fusion algorithms ...
S. Xu, M. Ehlers
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Diagnostics, 2021 Background: Visual estimation (VE) of coronary stenoses is the first step during invasive coronary angiography. The aim of this study was to evaluate the accuracy of VE together with invasive functional assessment (IFA) in defining the functional ...
Lucian Calmac +10 more
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DASANet: A 3D Object Detector with Density-and-Sparsity Feature Aggregation
Remote Sensing, 2023 In the field of autonomous driving and robotics, 3D object detection is a difficult, but important task. To improve the accuracy of detection, LiDAR, which collects the 3D point cloud of a scene, is updated constantly. But the density of the collected 3D
Qiang Zhang, Dongdong Wei
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In-stent restenosis in acute coronary syndrome—a classic and a machine learning approach
Frontiers in Cardiovascular Medicine, 2023 BackgroundIn acute coronary syndrome (ACS), a number of previous studies tried to identify the risk factors that are most likely to influence the rate of in-stent restenosis (ISR), but the contribution of these factors to ISR is not clearly defined. Thus,
Alexandru Scafa-Udriște +11 more
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Image fusion methods in high-speed railway scenes: A survey
High-Speed Railway, 2023 Image fusion refers to extracting meaningful information from images of different sources or modalities, and then fusing them to generate more informative images that are beneficial for subsequent applications.
Yuqiao Zeng +5 more
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