NDLI: Low-frequency synthetic aperture radar data-dome collection with the Bright Sapphire II instrument

Content Provider	IET Digital Library
Author	Doody, S. G. Hughes, N. Tomas, L. Ramio Mak, E. Muff, D. G. Nottingham, M. R.
Abstract	The ability to use low-frequency microwave sensing techniques to see through optically opaque objects is of great interest. One potential solution to the problem of seeing inside buildings and facilities is the use of low-frequency synthetic aperture radar. This provides the advantage of remote sensing and greater coverage than existing through-wall observation techniques. The Bright Sapphire II instrument is a low-frequency wideband quad polar synthetic aperture radar and offers such measurement capability. The first results of airborne trials are presented.
Starting Page	981
Ending Page	983
Page Count	3
ISSN	00135194
Volume Number	53
e-ISSN	1350911X
Issue Number	Issue 15, Jul (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/53/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2017.1478
Journal	Electronics Letters
Publisher Date	2017-06-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Airborne Trials Bright Sapphire II Instrument Computer Vision And Image Processing Technique Decision Redundancy Enhanced Decision Fusion Ensemble Machine Learning Scheme Geophysical Technique And Equipment Image Fusion Image Segmentation Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Intermediate Labelled Image Knowledge Engineering Technique Learning in AI Local Majority Filter Local Majority Saliency Map Low-frequency Microwave Sensing Technique Low-frequency Synthetic Aperture Radar Data-dome Collection Low-frequency Wideband Quad Polar Synthetic Aperture Radar Measurement Capability Optical, Image And Video Signal Processing Pixel Labelling Radar Equipment Random Decision Forest Model Real Time System Remote Sensing Remote Sensing by Radar Saliency Map Generation Semantically Segmented Image Sensor Fusion Statistical Analysis Statistical Perspective Statistics Synthetic Aperture Radar System And Application Uncertainty Challenges Voting Algorithm Voting Pool
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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