Low-cost, high-resolution, drone-borne SAR imaging
This article develops and examines methods for the production of real-world, very high-resolution
imagery using a high-frequency drone-borne synthetic aperture radar (SAR) operating …
imagery using a high-frequency drone-borne synthetic aperture radar (SAR) operating …
Coherent change detection for high-resolution drone-borne SAR at 24 GHz
This article develops and examines techniques to enable coherent change detection (CCD)
for short-range, high-resolution drone-borne synthetic aperture radar (SAR) systems …
for short-range, high-resolution drone-borne synthetic aperture radar (SAR) systems …
A nonlocal physics-informed deep learning framework using the peridynamic differential operator
The Physics-Informed Neural Network (PINN) framework introduced recently incorporates
physics into deep learning, and offers a promising avenue for the solution of partial differential …
physics into deep learning, and offers a promising avenue for the solution of partial differential …
An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic differential operator
This study presents a novel unsupervised convolutional Neural Network (NN) architecture
with nonlocal interactions for solving Partial Differential Equations (PDEs). The nonlocal …
with nonlocal interactions for solving Partial Differential Equations (PDEs). The nonlocal …
On the solution of hyperbolic equations using the peridynamic differential operator
Numerical solution of hyperbolic differential equations, such as the advection equation, poses
challenges. Classically, this issue has been addressed by using a scheme known as the …
challenges. Classically, this issue has been addressed by using a scheme known as the …
High-resolution drone-borne SAR using off-the-shelf high-frequency radars
This paper examines real-world, drone-borne SAR imaging using off-the-shelf radars
transmitting at frequencies of 24 and 77 GHz. Drone-borne systems have the potential to make …
transmitting at frequencies of 24 and 77 GHz. Drone-borne systems have the potential to make …
Peridynamics enabled learning partial differential equations
This study presents an approach to discover the significant terms in partial differential
equations (PDEs) that describe particular phenomena based on the measured data. The …
equations (PDEs) that describe particular phenomena based on the measured data. The …
Accelerating the discovery of steady‐states of planetary interior dynamics with machine learning
…, C Hüttig, DS Greenberg, AC Bekar - Journal of …, 2025 - Wiley Online Library
Simulating mantle convection often requires reaching a computationally expensive steady‐state,
crucial for deriving scaling laws for thermal and dynamical flow properties and …
crucial for deriving scaling laws for thermal and dynamical flow properties and …
Change detection for high-resolution drone-borne sar at high frequencies-first results
This paper presents initial results of SAR imaging and change detection for a high-resolution
(6×30cm), short-range drone-borne radar system. A novel hybrid approach to change …
(6×30cm), short-range drone-borne radar system. A novel hybrid approach to change …
Solving the eikonal equation for compressional and shear waves in anisotropic media using peridynamic differential operator
Traveltimes of compressional (P) and shear (S) waves have proven essential in many
earthquake and exploration seismology applications. An accurate and efficient traveltime …
earthquake and exploration seismology applications. An accurate and efficient traveltime …