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Potential Due to a Polarized Object

Potential Due to a Polarized Object

A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...

Dielectric Polarization in a Capacitor

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The presence of a dielectric medium in a capacitor not only changes the voltage and capacitance but also affects the electric field. In general, dielectrics can be of two types: polar and nonpolar. In a polar dielectric, the positive and negative charges in the molecules are separated by a distance and hence have a permanent dipole moment. In contrast, no such charge separation exists in a nonpolar dielectric, however the nonpolar molecules get polarized in the presence of an external electric...

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Insensitive Nuclei Enhanced by Polarization Transfer (INEPT) is an advanced Nuclear Magnetic Resonance (NMR) technique specifically designed to detect and enhance the signals of low-abundance nuclei, such as carbon-13 and nitrogen-15, in small molecules. The fundamental principle behind INEPT is the transfer of polarization from a more abundant and highly polarizable nucleus, typically hydrogen-1, to the low-abundance nucleus of interest. This process effectively boosts the NMR signal of the...

Group Polarization

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Related Experiment Video

Updated: Mar 12, 2026

Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures

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Polarization-based material classification technique using passive millimeter-wave polarimetric imagery.

Fei Hu, Yayun Cheng, Liangqi Gui

|November 10, 2016

Summary

This summary is machine-generated.

This study introduces a new polarization-based technique for material classification using passive millimeter-wave imaging. The method effectively distinguishes metals from dielectrics by analyzing the linear polarization ratio (LPR), aiding outdoor target detection.

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Last Updated: Mar 12, 2026

Author Spotlight: Unveiling the Potential of VSFG Microscopy in Studying Mesoscopically Heterogeneous Self-Assembled Structures

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Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

Automation of Mode Locking in a Nonlinear Polarization Rotation Fiber Laser through Output Polarization Measurements

Published on: February 28, 2016

Area of Science:

Physics
Electrical Engineering
Remote Sensing

Background:

Polarization properties of thermal millimeter-wave emission contain valuable information about object characteristics.
Passive millimeter-wave polarimetric imagery offers a non-invasive method for material analysis.
Distinguishing materials, especially in outdoor environments, remains a challenge for remote sensing.

Purpose of the Study:

To present a novel polarization-based material-classification technique using passive millimeter-wave polarimetric imagery.
To introduce the Linear Polarization Ratio (LPR) as a sensitive feature for material discrimination.
To investigate the effectiveness of LPR for distinguishing common natural and artificial materials.

Main Methods:

Development of a polarization-based material-classification technique.
Introduction and utilization of the Linear Polarization Ratio (LPR) as a key feature.
Theoretical analysis and experimental investigation of LPR characteristics for various materials.
Simulation and measurement to validate the classification performance.

Main Results:

The Linear Polarization Ratio (LPR) effectively discriminates material types.
LPR helps mitigate the effects of reflected ambient radiation.
The technique demonstrates high accuracy in distinguishing between metals and dielectrics.
Optimal incident angles and classification criteria were identified.

Conclusions:

The presented passive millimeter-wave polarimetric technique is effective for material classification.
The LPR is a robust feature for identifying material composition.
This method shows promise for outdoor metal target detection in open environments.