Results 61 to 70 of about 18,633 (206)

The United States Magnetotelluric Array and the National Impedance Map

Reviews of Geophysics, Volume 64, Issue 2, June 2026.
Abstract The United States Magnetotelluric Array (USMTArray) data set, collected in the years 2006–2024, consists of more than 1,700 long‐period magnetotelluric stations covering the entirety of the contiguous United States on a quasi‐regular 70 km grid.
Anna Kelbert, Paul A. Bedrosian, Adam Schultz, Gary D. Egbert, Louise Pellerin, Jeffrey J. Love, Andrew Frassetto, Benjamin S. Murphy   +7 more
wiley   +1 more source

Efficient Raw Signal Generation Based on Equivalent Scatterer and Subaperture Processing for SAR with Arbitrary Motion [PDF]

, 2014
An efficient SAR raw signal generation method based on equivalent scatterer and subaperture processing is proposed in this paper. It considers the radar’s motion track, which can obtain the precise raw signal for the real SAR. First, the imaging geometry
An, D.X., Huang, X.T., Xie, H.T., Zhou, Z.M.   +3 more
core   +1 more source

The Influence of Sea Ice and Ice Mélange on Outlet Glacier Dynamics in the Arctic and Antarctic: Recent Progress and Future Challenges

Reviews of Geophysics, Volume 64, Issue 2, June 2026.
Abstract Sea ice is situated close to the termini of many outlet glaciers in the Arctic and Antarctic and has the potential to influence their dynamics and, therefore, their contribution to sea level rise. However, the nature, prevalence, and ice‐dynamic significance of sea ice‐glacier interactions remains subject to several open questions.
Katherine A. Deakin, Chris R. Stokes, Stewart S. R. Jamieson, J. Rachel Carr   +3 more
wiley   +1 more source

Micro-motion Recognition of Spatial Cone Target Based on ISAR Image Sequences

Journal of Aerospace Technology and Management, 2016
The accurate micro-motions recognition of spatial cone target is the foundation of the characteristic parameter acquisition. For this reason, a micro-motion recognition method based on the distinguishing characteristics extracted from the Inverse ...
Changyong Shu, Fengli Xue, Shengjun Zhang, Peiling Huang, Jinzu Ji   +4 more
doaj   +3 more sources

SAR moving target imaging using group sparsity [PDF]

, 2013
SAR imaging of scenes containing moving targets results in defocusing in the reconstructed images if the SAR observation model used in imaging does not take the motion into account.
Çetin, Müjdat, Önhon, Özben Naime
core   +1 more source

Snow Depth on Arctic Sea Ice Retrieval Using a Synergy of Sentinel‐3's Active and Passive Microwave Instruments

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract Snow depth remains one of the largest sources of uncertainty in satellite‐derived sea ice thickness (SIT). Here, we introduce the novel Nadir Radiometer and Radar Synergy (NaRRS) method that combines data from Sentinel‐3's Microwave Radiometer (MWR) and Synthetic Aperture Radar Altimeter (SRAL) to retrieve Arctic snow depth on sea ice.
Connor Nelson, Julienne Stroeve, Thomas Lavergne, Jack Landy, Rosemary Willatt, Thomas Johnson, Fabrizio Baordo, Robbie Mallett, Michel Tsamados   +8 more
wiley   +1 more source

An Efficient Preprocessing Approach for Airborne Hybrid SAR and ISAR Imaging of Ship Target Based on Kernel Distribution

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
The airborne hybrid synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR) imaging for the ship target is very important in the field of ocean surveillance, but it suffers from the problem of high computational complexity.
Rui Cao, Yong Wang, Yanchao Lin, Yun Zhang   +3 more
doaj   +1 more source

Multi‐Sensor Spatiotemporal Fusion for 30‐m Daily Gapless Snow Cover Mapping

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract High spatiotemporal resolution remote sensing data is crucial for monitoring heterogeneous mountainous snow cover. Although spatiotemporal fusion presents a promising approach for high‐resolution snow monitoring, cloud contamination and sparse observations remain a critical constraint on its large‐scale and long‐term implementation. To address
Jinhang Wu, Xueliang Zhang, Pengfeng Xiao, Yumeng Jia, Bo Tang, Yan Liu   +5 more
wiley   +1 more source

DeepOT: A Deep Learning Framework for Pixel‐Level Ground Surface Displacement Estimation From SAR Amplitude Imagery

Earth and Space Science, Volume 13, Issue 5, May 2026.
Abstract Monitoring ground surface displacement is critical for understanding geophysical processes and mitigating natural hazards, yet conventional Synthetic Aperture Radar (SAR) techniques are often limited by decorrelation, complex terrain, and heterogeneous motion.
Jinwoo Kim, Hying‐Sup Jung, Zhong Lu
wiley   +1 more source

Target Oriented High Resolution SAR Image Formation via Semantic Information Guided Regularizations

, 2017
Sparsity-regularized synthetic aperture radar (SAR) imaging framework has shown its remarkable performance to generate a feature enhanced high resolution image, in which a sparsity-inducing regularizer is involved by exploiting the sparsity priors of ...
Hou, Biao, Jiao, Licheng, Wen, Zaidao, Wu, Qian   +3 more
core   +1 more source