Results 71 to 80 of about 768,879 (180)
Synthetic aperture radar (SAR) ship detection remains challenging due to inherent speckle noise, complex sea clutter, variable target scales, and arbitrary ship poses. This paper develops a YOLOv11‐based multi‐scale feature enhancement network, namely DWD‐Net, by integrating deformable convolution v4, a stochastic multi‐scale pooling attention ...
Niu Yameng +4 more
wiley +1 more source
Monitoring Pacific walrus coastal haulouts by satellite to estimate herd abundance and distribution
We monitored Pacific walrus haulouts with drone and satellite imagery to derive new methods for estimating minimum population size. The largest herd observed during an 8‐year study period was on the coast of northeastern Russia at Cape Serdtse‐Kamen in autumn 2022 where the aggregation spanned over an area of 184,094 m2 with a mean density (and 90 ...
Anthony S. Fischbach +2 more
wiley +1 more source
Abstract High‐resolution observations of ocean surface wind (OSW) are crucial for analyzing and forecasting tropical cyclones; however, current data are insufficient. While data sets such as the Cross‐Calibrated Multiplatform (CCMP) and ERA5 provide gap‐free wind fields, their 25 km resolution and tendency to underestimate cyclone wind speeds limit ...
Enze Zhang +9 more
wiley +1 more source
Abstract The 6 February 2023 Kahramanmaraş Earthquakes caused extensive deformation along the East Anatolian Fault Zone, producing significant north‐south displacements. Standard Interferometric Synthetic Aperture Radar (InSAR) methods face significant challenges in resolving near‐field deformation due to phase decorrelation caused by high displacement
Muhammet Nergizci +6 more
wiley +1 more source
Asymmetry of Cyclonic Sea Surface Wind and Wave Observed by SAR
Abstract CyclObs‐derived wind and SWH field are extracted from over 600 dual‐polarized Sentinel‐1 (S‐1) images of around 300 tropical cyclones (TCs) over the past eight years to investigate asymmetry of wind and wave fields during TCs. Fetch analysis and machine learning technique, eXtreme Gradient Boosting (XGBoost), is used to establish a ...
Weizeng Shao +4 more
wiley +1 more source
Sea ice topography information can be obtained from altimetry but these data are spatially and temporally limited compared to recent synthetic aperture radar (SAR) missions such as the RADARSAT Constellation Mission (RCM).
Grant J. Macdonald +5 more
doaj +1 more source
Synthetic Aperture Radar (SAR) Compact Polarimetry for Soil Moisture Retrieval
Soil moisture is a factor for risk analysis in the agricultural sector, yet access to temporally and spatially detailed data is challenging for much of the world’s agricultural extend. Significant effort has been focused on developing methodologies
Amine Merzouki +3 more
doaj +1 more source
Evaluation of Polarimetric SAR Despeckling Methods for Crop Classification from RCM Compact Polarimetry Data [PDF]
The presence of speckle in RADARSAT Constellation Mission (RCM) Compact Polarimetry (CP) Synthetic Aperture Radar (SAR) images can impair the performance of information extraction applications such as classification.
R. Farhadiani, S. Homayouni
doaj +1 more source
Abstract. Canada's RADARSAT Constellation Mission (RCM) will have the capacity to acquire C-band compact polarimetry (CP) data in all imaging modes over swaths up to 500 km wide. Our study aimed to assess and develop the utility of RCM CP data for the purpose of lake ice breakup monitoring.
J. J. van der Sanden, Torsten Geldsetzer
openaire +1 more source
Monitoring Hydro Temporal Variability in Alberta, Canada with Multi-Temporal Sentinel-1 SAR Data
Freely available high temporal and spatial resolution synthetic aperture radar (SAR) satellite data such as Sentinel-1 have made it possible for almost near-real time monitoring of surface water extent.
Evan R. DeLancey +3 more
doaj +1 more source

