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  1. Sensing and Imaging: An International Journal
  2. Sensing and Imaging: An International Journal : Volume 18
  3. Sensing and Imaging: An International Journal : Volume 18, Issue 1, December 2017
  4. Buried Target Imaging: A Comparative Study
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Sensing and Imaging: An International Journal : Volume 18
Sensing and Imaging: An International Journal : Volume 18, Issue 1, December 2017
Integrating Compact Constraint and Distance Regularization with Level Set for Hepatocellular Carcinoma (HCC) Segmentation on Computed Tomography (CT) Images
Numerical Aspects of Cone Beam Contour Reconstruction
Free Energy Adjusted Peak Signal to Noise Ratio (FEA-PSNR) for Image Quality Assessment
Super-Resolution Defect Characterization Using Microwave Near-Field Resonance Reflectometry and Cross-correlation Image Processing
Design and Simulations of an Energy Harvesting Capable CMOS Pixel for Implantable Retinal Prosthesis
A Microwave Free-Space Method Using Artificial Lens with Anti-reflection Layer
Investigation of Annealing Temperature on Structural and Morphological Properties of Cr$_{2}$O$_{3}$ Nanoparticles for Humidity Sensor Application
Chaos Through-Wall Imaging Radar
Fuzzy Logic-Based Filter for Removing Additive and Impulsive Noise from Color Images
Artifacts and Visible Singularities in Limited Data X-Ray Tomography
A Video Quality Assessment Method for VoIP Applications Based on User Experience
Multiple Image Arrangement for Subjective Quality Assessment
Vehicle Color Recognition with Vehicle-Color Saliency Detection and Dual-Orientational Dimensionality Reduction of CNN Deep Features
On Analytical Solutions to Beam-Hardening
Ship Detection in Optical Satellite Image Based on RX Method and PCAnet
Monitoring of Overhead Transmission Lines: A Review from the Perspective of Contactless Technologies
Automatic Segmenting Structures in MRI’s Based on Texture Analysis and Fuzzy Logic
Buried Target Imaging: A Comparative Study
Abundance Estimation of Hyperspectral Data with Low Compressive Sampling Rate
Recognizable or Not: Towards Image Semantic Quality Assessment for Compression
Motion Estimation and Compensation Strategies in Dynamic Computerized Tomography
Iterative Region-of-Interest Reconstruction from Limited Data Using Prior Information
Sensing and Imaging: An International Journal : Volume 17
Sensing and Imaging: An International Journal : Volume 16
Sensing and Imaging: An International Journal : Volume 15
Sensing and Imaging: An International Journal : Volume 14
Sensing and Imaging: An International Journal : Volume 13
Sensing and Imaging: An International Journal : Volume 12
Sensing and Imaging: An International Journal : Volume 11
Sensing and Imaging: An International Journal : Volume 10
Sensing and Imaging: An International Journal : Volume 9
Sensing and Imaging: An International Journal : Volume 8
Sensing and Imaging: An International Journal : Volume 7
Sensing and Imaging: An International Journal : Volume 6
Sensing and Imaging: An International Journal : Volume 5
Sensing and Imaging: An International Journal : Volume 4
Sensing and Imaging: An International Journal : Volume 3
Sensing and Imaging: An International Journal : Volume 2
Sensing and Imaging: An International Journal : Volume 1

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Buried Target Imaging: A Comparative Study

Content Provider Springer Nature Link
Author Ghaderi Aram, Morteza Dehmollaian, Mojtaba Khaleghi, Ali
Copyright Year 2017
Abstract A wide variety of qualitative methods have been proposed for microwave imaging. It is difficult to select only one of these methods based on a priori information and measurement equipment to achieve a reliable reconstruction. Various arrangements for antennas to be used in, for instance, have been proposed which have direct impacts on the complexity of inverse methods as well as the quality of output images. In this study, four qualitative methods of the linear sampling method (LSM), time reversal (TR), diffraction tomography (DT), and back-projection (BP) have been reviewed in a 2D scenario; the performance of the methods is compared within the same framework of a multi-static configuration. The goal is to compare their resolutions and determine their advantages and drawbacks. It is shown that LSM provides the best azimuth resolution but the worst range resolution. It is almost invariant to dielectric contrast and is appropriate for a wide range of dielectric contrasts and relatively large objects. It is also shown that at relatively low dielectric contrasts, TR images are most similar to the true object, show fewer artifacts, and offer high immunity to noise. While suffering from more artifacts due to the presence of some ghost images, DT offers the best range resolution. The results also show that BP has the worst azimuth resolution when reconstructing deeply-buried targets, although its implementation is straightforward and not computationally complex.
Starting Page 1
Ending Page 19
Page Count 19
File Format PDF
ISSN 15572064
Journal Sensing and Imaging: An International Journal
Volume Number 18
Issue Number 1
e-ISSN 15572072
Language English
Publisher Springer US
Publisher Date 2017-06-06
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Inverse scattering Qualitative methods Resolution Electrical Engineering Microwaves, RF and Optical Engineering Imaging Radiology
Content Type Text
Resource Type Article
Subject Instrumentation Electrical and Electronic Engineering
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