Results 21 to 30 of about 1,165,505 (404)

POLSAR Target Recognition Using a Feature Fusion Framework Based on Monogenic Signal and Complex-Valued Nonlocal Network

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
With the continuous development of synthetic aperture radar (SAR) systems, multipolarization information has been increasingly applied to numerous fields, and automatic target recognition (ATR) in polarimetric SAR (POLSAR) has been recognized as vital ...
Feng Li   +5 more
doaj   +1 more source

Joint radar-communication waveform designs using signals from multiplexed users [PDF]

open access: yes, 2020
Joint radar-communication designs are exploited in applications where radar and communications systems share the same frequency band or when both radar sensing and information communication functions are required in the same system.
Cao, Ning   +3 more
core   +1 more source

On the Derivation of Volume Decorrelation From TanDEM-X Bistatic Coherence

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
The bistatic interferometric coherence is affected by different sources of error, among which volume decorrelation, which quantifies the amount of noise caused by volume scattering mechanisms.
Paola Rizzoli   +5 more
doaj   +1 more source

CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection [PDF]

open access: yesIEEE Workshop/Winter Conference on Applications of Computer Vision, 2020
The perception system in autonomous vehicles is responsible for detecting and tracking the surrounding objects. This is usually done by taking advantage of several sensing modalities to increase robustness and accuracy, which makes sensor fusion a ...
Ramin Nabati, H. Qi
semanticscholar   +1 more source

Estimation and Adjustment of Polarization Errors in Conical Scan Method

open access: yesИзвестия высших учебных заведений России: Радиоэлектроника, 2018
The article proposes a solution of a problem of polarization error compensation for radar object direction finding by means of conical scan method.
A. A. Bludov   +3 more
doaj   +1 more source

The TanDEM-X Mission Phases—Ten Years of Bistatic Acquisition and Formation Planning

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
TanDEM-X is a formation flying interferometer consisting of two SAR satellites. Together they acquire bistatic SAR data of the earth in order to generate a global digital elevation model as well as individual scientific interferometric datasets on user ...
Markus Bachmann   +11 more
doaj   +1 more source

How Much Depth Information can Radar Contribute to a Depth Estimation Model? [PDF]

open access: yes, 2022
Recently, several works have proposed fusing radar data as an additional perceptual signal into monocular depth estimation models because radar data is robust against varying light and weather conditions. Although improved performances were reported in prior works, it is still hard to tell how much depth information radar can contribute to a depth ...
arxiv   +1 more source

Circulation Retrieval of Wake Vortices under Rainy Conditions with an X Band Radar

open access: yesLeida xuebao, 2017
At airports, runway operation is the limiting factor for the overall throughput; specifically the fixed and overly conservative ICAO wake turbulence separation minima.
Jean-Yves Schneider   +2 more
doaj   +1 more source

QUALITY ASSESSMENT FOR THE FIRST PART OF THE TANDEM-X GLOBAL DIGITAL ELEVATION MODEL [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
TanDEM-X is an innovative synthetic aperture radar (SAR) mission with the main goal to generate a global and homogeneous digital elevation model (DEM) of the Earth’s land masses.
B. Bräutigam   +8 more
doaj   +1 more source

The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset [PDF]

open access: yesIEEE International Conference on Robotics and Automation, 2019
In this paper we present The Oxford Radar RobotCar Dataset, a new dataset for researching scene understanding using Millimetre-Wave FMCW scanning radar data.
Dan Barnes   +4 more
semanticscholar   +1 more source

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