Results 21 to 30 of about 42,043 (166)

An Instance Segmentation Based Framework for Large-Sized High-Resolution Remote Sensing Images Registration

Remote Sensing, 2021
Feature-based remote sensing image registration methods have achieved great accomplishments. However, they have faced some limitations of applicability, automation, accuracy, efficiency, and robustness for large high-resolution remote sensing image ...
Junyan Lu, Hongguang Jia, Tie Li, Zhuqiang Li, Jingyu Ma, Ruifei Zhu   +5 more
doaj   +1 more source

A Multi-Frame Superposition Detection Method for Dim-Weak Point Targets Based on Optimized Clustering Algorithm

Remote Sensing, 2023
Long-range surveillance and early warning of space targets are significant factors in space security. Under remote observation conditions, the energy performance of the target is weak and subject to environmental and imaging process contamination.
Chenyu Xu, Erwei Zhao, Wei Zheng, Zhen Yang, Xiaodong Peng, Wenlong Niu   +5 more
doaj   +1 more source

NEAR: An artifact removal pipeline for human newborn EEG data

Developmental Cognitive Neuroscience, 2022
Electroencephalography (EEG) is arising as a valuable method to investigate neurocognitive functions shortly after birth. However, obtaining high-quality EEG data from human newborn recordings is challenging.
Velu Prabhakar Kumaravel, Elisabetta Farella, Eugenio Parise, Marco Buiatti   +3 more
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A Method for Removing Outlier Noise from ArrayInSAR Point Clouds based on Hybrid Filtering [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Array Interferometric Synthetic Aperture Radar (ArrayInSAR) point cloud is a point cloud obtained by three-dimensional imaging of two-dimensional Synthetic Aperture Radar (SAR) images using array interferometric synthetic aperture radar technology, which
F. Ji, J. Yu, J. Yu, J. Yu, G. Huang, S. Yang, L. Lu   +6 more
doaj   +1 more source

A Unified Sparse Optimization Framework to Learn Parsimonious Physics-Informed Models From Data

IEEE Access, 2020
Machine learning (ML) is redefining what is possible in data-intensive fields of science and engineering. However, applying ML to problems in the physical sciences comes with a unique set of challenges: scientists want physically interpretable models ...
Kathleen Champion, Peng Zheng, Aleksandr Y. Aravkin, Steven L. Brunton, J. Nathan Kutz   +4 more
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Characterization of the effects of outliers on ComBat harmonization for removing inter-site data heterogeneity in multisite neuroimaging studies

Frontiers in Neuroscience, 2023
Data harmonization is a key step widely used in multisite neuroimaging studies to remove inter-site heterogeneity of data distribution. However, data harmonization may even introduce additional inter-site differences in neuroimaging data if outliers are ...
Qichao Han, Xiaoxiao Xiao, Sijia Wang, Wen Qin, Chunshui Yu, Chunshui Yu, Meng Liang   +6 more
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Algorithms for optimal outlier removal

Journal of Discrete Algorithms, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Atanassov, Rossen, Bose, Prosenjit, Couture, Mathieu, Maheshwari, Anil, Morin, Pat, Paquette, Michel, Smid, Michiel, Wuhrer, Stefanie   +7 more
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Valid Inference Corrected for Outlier Removal [PDF]

Journal of Computational and Graphical Statistics, 2019
21 pages, 6 figures, 2 ...
Shuxiao Chen, Jacob Bien
openaire   +2 more sources

Registration of Large Optical and SAR Images with Non-Flat Terrain by Investigating Reliable Sparse Correspondences

Remote Sensing, 2023
Optical and SAR image registration is the primary procedure to exploit the complementary information from the two different image modal types. Although extensive research has been conducted to narrow down the vast radiometric and geometric gaps so as to ...
Han Zhang, Lin Lei, Weiping Ni, Kenan Cheng, Tao Tang, Peizhong Wang, Gangyao Kuang   +6 more
doaj   +1 more source

Robust Time-of-Arrival Location Estimation Algorithms for Wildlife Tracking

Sensors, 2023
Time-of-arrival transmitter localization systems, which use measurements from an array of sensors to estimate the location of a radio or acoustic emitter, are now widely used for tracking wildlife.
Eitam Arnon, Shlomo Cain, Assaf Uzan, Ran Nathan, Orr Spiegel, Sivan Toledo   +5 more
doaj   +1 more source