Results 21 to 30 of about 7,105,979 (365)
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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U2Fusion: A Unified Unsupervised Image Fusion Network
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 This study proposes a novel unified and unsupervised end-to-end image fusion network, termed as U2Fusion, which is capable of solving different fusion problems, including multi-modal, multi-exposure, and multi-focus cases.
Han Xu +4 more
semanticscholar +1 more source
MULTIFOCAL IMAGES FUSION [PDF]
Acta Electrotechnica et Informatica, 2017 The paper deals with the issue of multifocal image fusion. Two techniques of the hierarchical image representation are analyzed herein. The first one is hierarchical decomposition based on the Laplacian pyramid and the second one is based on integer discrete wavelet transformation. After the analysis of the above-mentioned decompositions techniques the
Ondrej Kovac, Iveta Gladišová
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IMAGE FUSION AND IMAGE QUALITY ASSESSMENT OF FUSED IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Abstract. It is of great value to fuse a high-resolution panchromatic image and low-resolution multi-spectral images for object recognition. In the paper, tow frames of remotely sensed imagery, including ZY03 and SPOT05, are selected as the source data.
Xiaoming Gao +3 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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