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Image Fusion With Guided Filtering [PDF]

IEEE Transactions on Image Processing, 2013
A fast and effective image fusion method is proposed for creating a highly informative fused image through merging multiple images. The proposed method is based on a two-scale decomposition of an image into a base layer containing large scale variations in intensity, and a detail layer capturing small scale details.
Shutao Li, Xudong Kang, Jianwen Hu
exaly   +3 more sources

High-Resolution SAR Image Classification Using Multi-Scale Deep Feature Fusion and Covariance Pooling Manifold Network

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, Yan Wu, Ming Li, Yice Cao, Xin Hu   +4 more
doaj   +1 more source

Unsupervised change detection in PolSAR images using siamese encoder–decoder framework based on graph-context attention network

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, Yan Wu, Ming Li, Xin Hu, Zhikang Li   +4 more
doaj   +1 more source

Semantic Image Fusion

CoRR, 2021
10 pages, 3 figures and 2 tables.
Paul R. Hill, David R. Bull
openaire   +2 more sources

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, Christian Lengenfelder, Gerrit Holzbach, Maximilian Becker, Pascal Birnstill, Michael Voit, Ali Bejhad, Tim Samorei, Jürgen Beyerer   +8 more
doaj   +1 more source

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, Yan Wu, Ming Li, Wenkai Liang, Peng Zhang   +4 more
doaj   +1 more source

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, Qiang Zhang, Qiulei Dong, Zhen Han, Xiliang Luo, Dongdong Wei   +5 more
doaj   +1 more source

Image Fusion Transformer

2022 IEEE International Conference on Image Processing (ICIP), 2022
Accepted at ICIP ...
Vibashan VS, Jeya Maria Jose Valanarasu, Poojan Oza, Vishal M. Patel   +3 more
openaire   +2 more sources

Importance of Visual Estimation of Coronary Artery Stenoses and Use of Functional Evaluation for Appropriate Guidance of Coronary Revascularization—Multiple Operator Evaluation

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, Nicoleta-Monica Popa-Fotea, Vlad Bataila, Vlad Ploscaru, Adrian Turea, Irina Andra Tache, Diana Stoian, Lucian Itu, Elisabeta Badila, Alexandru Scafa-Udriste, Maria Dorobantu   +10 more
doaj   +1 more source

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
doaj   +1 more source