Multiresolution image registration for multimodal brain images and fusion for better neurosurgical planning
Sign Up to like & getrecommendations! Published in 2017 at "Biomedical Journal"
DOI: 10.1016/j.bj.2017.09.002
Abstract: Background Imaging modalities in medicine gives complementary information. Inadequacy in clinical information made single imaging modality insufficient. There is a need for computer-based system that permits rapid acquisition of digital medical images and performs multi-modality… read more here.
Keywords: information; image; image registration; multiresolution ... See more keywords
A wavelet multiresolution interpolation Galerkin method with effective treatments for discontinuity for crack growth analyses
Sign Up to like & getrecommendations! Published in 2020 at "Engineering Fracture Mechanics"
DOI: 10.1016/j.engfracmech.2019.106836
Abstract: Abstract A wavelet multiresolution interpolation Galerkin method (WMIGM) with effective algorithm for treatments on the discontinuity of cracks is developed to handle the growth of cracks. In our WMIGM, two robust nodal refining models of… read more here.
Keywords: interpolation galerkin; method; multiresolution; wavelet multiresolution ... See more keywords
Multiresolution-Based Rough Fuzzy Possibilistic -Means Clustering Method for Land Cover Change Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3228261
Abstract: Object-oriented change detection (OOCD) plays an important role in remote sensing change detection. Generally, most of current OOCD methods adopt the highest predicted probability to determine whether objects have changes. However, it ignores the fact… read more here.
Keywords: change detection; multiresolution; change; rough fuzzy ... See more keywords
PAN-Guided Multiresolution Fusion Network Using Swin Transformer for Pansharpening
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3232189
Abstract: Deep learning (DL)-based methods have been widely used in pansharpening and have made great progress. To increase the accuracy, the DL-based model structures can be improved by introducing the multiresolution information and self-similarity of the… read more here.
Keywords: network; multiresolution; guided multiresolution; pan guided ... See more keywords
Joint Demosaicing and Fusion of Multiresolution Coded Acquisitions: A Unified Image Formation and Reconstruction Method
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2023.3261503
Abstract: Novel optical imaging devices allow for hybrid acquisition modalities such as compressed acquisitions with locally different spatial and spectral resolutions captured by a single focal plane array. In this work, we propose to model the… read more here.
Keywords: multiresolution; demosaicing fusion; reconstruction; joint demosaicing ... See more keywords
Predictive Modeling With Multiresolution Pyramid VAE and Industrial Soft Sensor Applications.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3143613
Abstract: In industrial processes, the sampling rates of process variables are discrepant because of the nature of instruments and measuring demands, which forms the challenging issue, that is, the multirate modeling in the data-driven soft sensor… read more here.
Keywords: industrial soft; multiresolution pyramid; soft sensor; pyramid ... See more keywords
A Novel Sharpening Approach for Superresolving Multiresolution Optical Images
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2018.2867284
Abstract: This paper aims to provide a compact superresolution formulation specific for multispectral (MS) multiresolution optical data, i.e., images characterized by different scales across different spectral bands. The proposed method, named multiresolution sharpening approach (MuSA), relies… read more here.
Keywords: multiresolution optical; approach; approach superresolving; multiresolution ... See more keywords
Unsupervised Change Detection Using Convolutional-Autoencoder Multiresolution Features
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3140404
Abstract: The use of deep learning (DL) methods for change detection (CD) is currently dominated by supervised models that require a large number of labeled samples. However, these samples are difficult to acquire in the multitemporal… read more here.
Keywords: change detection; feature maps; convolutional autoencoder; multiresolution ... See more keywords
Multiresolution Subdivision Snakes
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2016.2644263
Abstract: We present a new family of snakes that satisfy the property of multiresolution by exploiting subdivision schemes. We show in a generic way how to construct such snakes based on an admissible subdivision mask. We… read more here.
Keywords: multiresolution subdivision; subdivision snakes; subdivision; multiresolution ... See more keywords
Multiresolution Discriminative Mixup Network for Fine-Grained Visual Categorization.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3112768
Abstract: Fine-grained visual categorization (FGVC) is a challenging task because there are many hard examples existing between fine-grained classes which differ subtly in particular local regions. To address this issue, many methods have recourse to high-resolution… read more here.
Keywords: discriminative mixup; categorization; mixup; fine grained ... See more keywords
Wavelet-Based Multiresolution Smart Meter Privacy
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2015.2504395
Abstract: The availability of individual load curves per household in the smart grid end-user domain combined with nonintrusive load monitoring (NILM) to infer personal data from these load curves has led to privacy concerns. Based on… read more here.
Keywords: wavelet based; multiple resolutions; multiresolution; privacy ... See more keywords