Results 81 to 90 of about 199,781 (299)
Abstract Mapping the internal stratigraphy of ice sheets serves a variety of glaciological applications, from the study of past ice flows to current distribution of surface mass balance and melting to contemporary ice dynamics, all of which are crucial for improving future projections of sea level rise.
Hameed Moqadam+3 more
wiley +1 more source
Pipelined digital SAR azimuth correlator using hybrid FFT-transversal filter [PDF]
A synthetic aperture radar system (SAR) having a range correlator is provided with a hybrid azimuth correlator which utilizes a block-pipe-lined fast Fourier transform (FFT).
Liu, K. Y., Wu, C.
core +1 more source
Joint sparsity-driven inversion and model error correction for radar imaging [PDF]
Solution of inverse problems in imaging requires the use of a mathematical model of the observation process. However such models often involve errors and uncertainties themselves. The application of interest in this paper is synthetic aperture radar (SAR)
Cetin, Mujdat+3 more
core +2 more sources
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+3 more
doaj +1 more source
Measurement of Englacial Velocity Fields With Interferometric Radio Echo Sounders
Abstract The surface velocity of ice sheets is now measured at high spatial and temporal resolutions by satellite‐borne platforms. The availability of this data has enabled rapid progress in both monitoring the evolution of ice sheets and understanding their underlying physical processes.
Thomas O. Teisberg+3 more
wiley +1 more source
Differentiable Rendering for Synthetic Aperture Radar Imagery [PDF]
There is rising interest in differentiable rendering, which allows explicitly modeling geometric priors and constraints in optimization pipelines using first-order methods such as backpropagation. Incorporating such domain knowledge can lead to deep neural networks that are trained more robustly and with limited data, as well as the capability to solve
arxiv
Analysis of the Utilization of Machine Learning to Map Flood Susceptibility
ABSTRACT This article provides an analysis of the utilization of Machine Learning (ML) models in Flood Susceptibility Mapping (FSM), based on selected publications from the past decade (2013–2023). Recognizing the challenge that some stages of ML modeling inherently rely on experience or trial‐and‐error approaches, this work aims at establishing a ...
Ali Pourzangbar+3 more
wiley +1 more source
An improved inverse synthetic aperture radar range alignment method based on maximum contrast
Inverse synthetic aperture radar (ISAR) is an important tool for non-cooperative ship imaging, and one key step of ISAR imaging is range alignment. To achieve the range alignment with high precision, efficiency and robustness, an improved ISAR range ...
Yong Li+4 more
semanticscholar +1 more source
Multibeam single frequency synthetic aperture radar processor for imaging separate range swaths [PDF]
A single-frequency multibeam synthetic aperture radar for large swath imaging is disclosed. Each beam illuminates a separate ""footprint'' (i.e., range and azimuth interval).
Jain, A.
core +1 more source
A nonquadratic regularization-based technique for joint SAR imaging and model error correction [PDF]
Regularization based image reconstruction algorithms have successfully been applied to the synthetic aperture radar (SAR) imaging problem. Such algorithms assume that the mathematical model of the imaging system is perfectly known.
Cetin, Mujdat+3 more
core +1 more source