Results 61 to 70 of about 1,700,493 (251)
Parametric Sparse Representation and Its Applications to Radar Sensing
Sparse signal processing has been utilized to the area of radar sensing. Due to the presence of unknown factors such as the motion of the targets of interest and the error of the radar trajectory, a predesigned dictionary cannot provide the optimally ...
Li Gang, Xia Xiang-Gen
doaj +1 more source
Conceptual hydroclimatic pathway linking the concurrent negative North Atlantic Oscillation (NAO) phase and weak La Niña conditions to extreme February rainfall and flash flooding in Northwest Africa. ABSTRACT The winter of 2025–2026 in Morocco exhibited a rapid hydroclimatic transition from prolonged drought to widespread flooding, representing an ...
Afshin Amiri +2 more
wiley +1 more source
Temporal stability of soil moisture and radar backscatter observed by the advanced Synthetic Aperture Radar (ASAR) [PDF]
The high spatio-temporal variability of soil moisture is the result of atmospheric forcing and redistribution processes related to terrain, soil, and vegetation characteristics.
Annett Bartsch +32 more
core +1 more source
Deep Learning Training Data for Phase Unwrapping of SAR Interferograms [PDF]
Phase unwrapping is an essential process in synthetic aperture radar interferometry that restores phase signals constrained within the range of (-π, π) to their true phase values.
Won-Kyung Baek, Hyung-Sup Jung
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ABSTRACT Aeolian dust source areas are controlled by climate and human activities and are closely associated with land degradation, yet their long‐term evolution under global warming remains insufficiently quantified. An integrated framework that couples a U‐Net segmentation model with Shapley Additive Explanations (SHAP) was built to map and attribute
Yanyu Li +5 more
wiley +1 more source
Automatic insect identification, counting, and monitoring techniques: a review
Automated insect monitoring increasingly integrates optical, acoustic, infrared, radar, electrostatic, and biosensing technologies with artificial intelligence. No single approach is universally optimal; reliable deployment depends on task‐specific validation, representative datasets, robustness under field conditions, energy autonomy, connectivity ...
Mariano González García +3 more
wiley +1 more source
Surface displacements and source parameters of the 2003 Bam (Iran) earthquake from Envisat advanced synthetic aperture radar imagery [PDF]
The M w 6.6, 26 December 2003 Bam (Iran) earthquake was one of the first earthquakes for which Envisat advanced synthetic aperture radar (ASAR) data were available.
Fielding, E. J. +9 more
core +1 more source
The dynamics of surface and sub-surface water events can lead to slope instability, resulting in anomalies such as slough slides on earthen levees. Early detection of these anomalies by a remote sensing approach could save time versus direct assessment ...
Ramakalavathi Marapareddy +2 more
doaj +1 more source
Using 25–30 cm Umbra synthetic aperture radar (SAR) imagery combined with ground validation of our observations, we introduce a method to track the phenology of emperor penguins during the Antarctic winter. We successfully identified events in the breeding cycle, which were previously impossible to observe during the complete darkness of Antarctic ...
Michelle LaRue +12 more
wiley +1 more source
AIRBORNE INTERFEROMETRIC SYNTHETIC APERTURE RADAR
This article gives a brief description of the interferometric SAR mode. It gives a description and the main characteristics of some airborne interferometric SAR systems.
E. E. Nechaev, K. S. Deryabin
doaj

