Results 41 to 50 of about 173,784 (296)

Few‐shot learning for satellite characterisation from synthetic inverse synthetic aperture radar images

IET Radar, Sonar & Navigation
Space situational awareness systems primarily focus on detecting and tracking space objects, providing crucial positional data. However, understanding the complex space domain requires characterising satellites, often involving estimation of bus and ...
Friso G. Heslinga, Faruk Uysal, Sabina B. vanRooij, Sven Berberich, Miguel Caro Cuenca   +4 more
doaj   +1 more source

Soft Segmented Randomization: Enhancing Domain Generalization in SAR ATR for Synthetic-to-Measured

IEEE Access
Synthetic aperture radar technology is crucial for high-resolution imaging under various conditions; however, the acquisition of real-world synthetic aperture radar data for deep learning-based automatic target recognition remains challenging due to high
Minjun Kim, Ohtae Jang, Haekang Song, Heesub Shin, Jaewoo Ok, Minyoung Back, Jaehyuk Youn, Sungho Kim   +7 more
doaj   +1 more source

Servomechanism for Doppler shift compensation in optical correlator for synthetic aperture radar [PDF]

, 1980
A method and apparatus for correcting Doppler shifts in synthetic aperture radar data is described. An optical correlator for synthetic aperture radar data has a means for directing a laser beam at a signal film having radar return pulse intensity ...
Bicknell, T. J., Constaninides, N. J.
core   +1 more source

SARchaeological Prospection: Synthetic Aperture Radar for the Reconstruction and Mapping of Temperate Floodplain Environments

Archaeological Prospection, EarlyView.
ABSTRACT Temperate river floodplains present a significant challenge for archaeologists, as cultural and palaeoenvironmental remains are often difficult to locate but can be exceptionally well preserved, especially where groundwater levels are high. In these alluvial environments, the deposition of thick, fine‐grained sediments has potential to deeply ...
Nicholas Crabb, Chris Carey, Andy J. Howard, Matthew Brolly   +3 more
wiley   +1 more source

Exploring Distributed Scatterers Interferometric Synthetic Aperture Radar Attributes for Synthetic Aperture Radar Image Classification

Remote Sensing
Land cover classification of Synthetic Aperture Radar (SAR) imagery is a significant research direction in SAR image interpretation. However, due to the unique imaging methodology of SAR, interpreting SAR images presents numerous challenges, and land ...
Mingxuan Wei, Yuzhou Liu, Chuanhua Zhu, Chisheng Wang   +3 more
doaj   +1 more source

Automatic Target Recognition in Synthetic Aperture Radar Imagery: A State-of-the-Art Review

IEEE Access, 2016
The purpose of this paper is to survey and assess the state-of-the-art in automatic target recognition for synthetic aperture radar imagery (SAR-ATR). The aim is not to develop an exhaustive survey of the voluminous literature, but rather to capture in ...
Khalid El-Darymli, E. Gill, Peter F. McGuire, D. Power, C. Moloney   +4 more
semanticscholar   +1 more source

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao, Qintao Guo, Jin Zhou, Cheng Yi   +3 more
wiley   +1 more source

Turbulence‐resolving simulations of Hurricane Laura (2020): Insights into extreme winds and eyewall turbulence

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Using high‐resolution turbulence‐resolving simulations, we analyze the wind structure in the eyewall of Hurricane Laura (2020) and validate the results with observational data. Our findings show significant variations in wind speed and turbulence, especially above 50 m.
Miguel Sanchez‐Gomez, Georgios Deskos, Julie K. Lundquist   +2 more
wiley   +1 more source

Unsupervised change detection method in SAR images based on deep belief network using an improved fuzzy C‐means clustering algorithm

IET Image Processing, 2021
Deep learning methods have recently displayed ground‐breaking results for synthetic aperture radar image change detection problem. However, they still face the challenges of intrinsic noise and the difficulty of acquiring labeled data.
Sanae Attioui, Said Najah
doaj   +1 more source

Tri-Frequency Synthetic Aperture Radar for the Measurements of Snow Water Equivalent [PDF]

SWESARR (Snow Water Equivalent Synthetic Aperture Radar and Radiometer) is an airborne instrument developed at the NASA Goddard Space Flight Center for the retrieval of Snow Water Equivalent. SWESARR was specifically designed to measure co-located active
Bonds, Quenton, Brucker, Ludovic, Kielbasa, Chase, Osmanoglu, Batuhan, Perrine, Martin, Racette, Paul, Rincon, Rafael, Seufert, Steve   +7 more
core   +4 more sources