26 citations · 61 across the 14 of their papers we have counts for
18 papers
Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery
Sophia Li, Max Zhao, Raghu G. Raj +1
Floods frequently impact regions around the world. Rapid and accurate flood detection is crucial for emergency response and timely mitigation of human and economic loss. The expand…
A Dynamic Mode Decomposition Approach to Morphological Component Analysis
Owen T. Huber, Raghu G. Raj, Tianyu Chen +1
This paper introduces a novel methodology of adapting the representation of videos based on the dynamics of their scene content variation. In particular, we demonstrate how the clu…
Data-Driven Calibration Technique for Quantitative Radar Imaging
Zacharie Idriss, Raghu Raj
Quantitative inversion algorithms allow for the reconstruction of electrical properties (such as permittivity, and conductivity) for every point in a scene. However, they are chall…
Aspects of a Generalized Theory of Sparsity based Inference in Linear Inverse Problems
Raghu G. Raj, Ryan O'Dowd, Owen T. Huber +1
Linear inverse problems are ubiquitous in various science and engineering disciplines. Of particular importance in the past few decades, is the incorporation of sparsity based prio…
Linear Inverse Problems Using a Generative Compound Gaussian Prior
Carter Lyons, Raghu G. Raj, Margaret Cheney
Since most inverse problems arising in scientific and engineering applications are ill-posed, prior information about the solution space is incorporated, typically through regulari…
Robust and tractable multidimensional exponential analysis
H. N. Mhaskar, S. Kitimoon, Raghu G. Raj
Motivated by a number of applications in signal processing, we study the following question. Given samples of a multidimensional signal of the form $$ f(\boldsymbol\ell)=\sum_{k=1}…