RANGE-DOPPLER DOMAIN SPATIAL ALIGNMENT FOR NETWORKED RADARS

Range-Doppler domain spatial alignment for networked radars

Abstract An important prerequisite for the radar network detection is that the measurements from local radars are transformed to a common reference frame without systematic or registration errors.For the signal level alignment, only partial signals are available for global decision-making due to power and bandwidth limitations.In this paper, a low-

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Preparation and characterization of poly (hydroxy butyrate)/chitosan blend scaffolds for tissue engineering applications

Background: Poly (hydroxy butyrate) (PHB) is a biodegradable and biocompatible polymer with good mechanical properties.This polymer could be a promising material for scaffolds if some features improve.Materials and Methods: In the present work, new PHB/chitosan blend scaffolds were prepared as a three-dimensional substrate Cab Floor Products in car

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A landscape metrics-based sample weighting approach for forecasting land cover change with deep learning models

Unaddressed imbalance of multitemporal land cover (LC) data Pomegranate reduces deep learning (DL) model usefulness to forecast changes.To manage geospatial data imbalance, there is a lack of specialized cost-sensitive learning strategies available.Sample weights are typically derived from training instance frequencies which disregard spatial patte

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