Angular Velocity,Autonomous Navigation,Classical Computer,Computer Vision,Convolutional Neural Network,Deep Learning-based Models,Global Positioning System,Gross ...
Abstract: SAR calibration is one of the most important technique of measurable observation and to calibrate SAR images to normalized radar cross sections (NRCS) a calibration constant is required.
Collection Of Papers,Information Retrieval,Language Model,Large Language Models,Latent Dirichlet Allocation,Non-negative Matrix Factorization,Optimal Parameter Values ...
Angle Of Arrival,Angular Distance,Antenna Array,Arrival Of Signal,Coherent Signal,Coherent Sources,Covariance Matrix,Decomposition Of The Covariance Matrix,Direction Of Arrival,Direction Of Arrival ...
Comparable Prediction Accuracy,Computer Vision,Contact Force,Deep Learning-based Models,Dynamic Model,Encoder-decoder Model,Force Generation,Gated Recurrent Unit,Graph Neural Networks,Hidden ...
Abstract: This study develops the theory to enumerate the reachable states of marked graphs that are a simple subclass of Petri nets where every place has a single input and output transition without ...
Abstract: We propose a data-hardened architecture for military digital twins that can enable resilient, integrated warfare under contested environments. We first elicit the foundational requirements ...
Acoustic Waves,Additive Noise,Autonomous Underwater Vehicles,Azimuth Angle,Current Simulation,Echosounder,Field Of View,Multibeam Echosounder,Noise Model,Normal ...
Abstract: This paper aims at defining the expression of the probability of error of classification methods using a synthetic aperture radar (SAR) intensity ratio as a ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=8392666 ...
Abstract: We earlier proposed a novel on-line denoising structure which utilized the adaptive filter to improve the wavelet shrinkage and did acquire some positive results. In this paper, we will have ...
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