Results 81 to 90 of about 1,370,388 (368)
A robust nonlinear scale space change detection approach for SAR images [PDF]
, 2013 In this paper, we propose a change detection approach based on nonlinear scale space analysis of change images for robust detection of various changes incurred by natural phenomena and/or human activities in Synthetic Aperture Radar (SAR) images using ...
Demirkesen, Can +4 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu +5 more
wiley +1 more source
Globally Conditioned Conditional FLOW (GCC-FLOW) for Sea Clutter Data Augmentation
Applied SciencesIn this paper, a novel deep learning approach based on conditional FLOW is proposed for sea clutter augmentation. Sea clutter data augmentation is important for testing detection algorithms for maritime remote sensing and surveillance due to the ...
Seokwon Lee, Wonzoo Chung
doaj +1 more source
Adaptive Subspace Signal Detection in Structured Interference Plus Compound Gaussian Sea Clutter [PDF]
, 2022 Zeyu Wang +4 more
openalex +1 more source
Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach
Advanced Intelligent Systems, EarlyView.Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera +2 more
wiley +1 more source
Remote SensingIn recent years, the high-frequency hybrid sky-surface wave radar (HSSWR) has been increasingly used for target detection applications. Nevertheless, the specific bistatic system layout and the phase path disturbances induced by the ionospheric ...
Qing Zhou +6 more
doaj +1 more source
Property Analysis and Suppression Method of Real Measured Sea Spikes
Leida xuebao, 2015 In case of high-resolution, low grazing angle, high sea state, and horizontal transmitting, horizontal receiving polarization, the radar returns are strengthened, resulting in sea spikes.
Huang Yong, Chen Xiao-long, Guan Jian
doaj +1 more source
Elastic Fast Marching Learning from Demonstration
Advanced Intelligent Systems, EarlyView.This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados +3 more
wiley +1 more source
VARIATION OF THE SHAPE PARAMETER OF K-DISTRIBUTION FOR SEA CLUTTER WITH THE SPATIAL CORRELATION OF SEA SURFACE [PDF]
, 2020 Andrew J. Park +3 more
openalex +1 more source