| Type of Material: | Thesis |
| Title: | Quantitative Microwave Imaging Methods for Dielectric Profiling |
| Researcher: | Anjit, T A |
| Guide: | Mythili, P |
| Department: | Department of Electronics and Communication |
| Publisher: | Cochin University of Science & Technology, Cochin |
| Place: | Cochin |
| Year: | 2022 |
| Language: | English |
| Subject: | Compressive sensing | Deep Learning | Engineering | Engineering and Technology | Engineering Electrical and Electronic | Inverse scattering | Microwave Imaging | Electrical Engineering | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Electronics and Communication, Cochin University of Science & Technology, Cochin, Cochin; 2022 |
| Fulltext: | Shodhganga |
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| 001 | 456486 | |
| 003 | IN-AhILN | |
| 005 | 2024-10-10 14:12:40 | |
| 008 | __ | 241010t2022||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_456486 |
| 040 | __ | |aCUST_682022|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aAnjit, T A|eResearcher |
| 110 | __ | |aDepartment of Electronics and Communication|bCochin University of Science & Technology, Cochin|dCochin|ein|0U-0253 |
| 245 | __ | |aQuantitative Microwave Imaging Methods for Dielectric Profiling |
| 260 | __ | |aCochin|bCochin University of Science & Technology, Cochin|c2022 |
| 300 | __ | |dDVD|axiv,116 |
| 502 | __ | |d2022|bPhD|cDepartment of Electronics and Communication, Cochin University of Science & Technology, Cochin, Cochin |
| 518 | __ | |oDate of Award|d2023 |
| 518 | __ | |oDate of Registration|d2016 |
| 520 | __ | |aMicrowave Imaging (MWI), is an emerging modality that is being used as a diagnostic tool in various applications such as ground-penetrating radar, synthetic aperture radar, target identification, medical imaging etc. due to its unique features. Some of these applications require only qualitative information about the object under test. In contrast, many of applications needs a quantitative description of the scatterer, such as its permittivity and conductivity profiles. The process of retrieving such features from the measured field values is known as Inverse Scattering Problem (ISP). The inverse scattering problem (ISP) of microwave imaging is highly non-linear and ill-posed and is liable to get stuck in local minima. The iterative techniques employed for solving these non-linear and ill-posed problems are computationally expensive. An attempt is made in this thesis to reconstruct the image cross-section of the object by determining the distribution of dielectric permittivities, from the scattered data mea |
| 650 | __ | |aElectrical Engineering|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aCompressive sensing |
| 653 | __ | |aDeep Learning |
| 653 | __ | |aEngineering |
| 653 | __ | |aEngineering and Technology |
| 653 | __ | |aEngineering Electrical and Electronic |
| 653 | __ | |aInverse scattering |
| 653 | __ | |aMicrowave Imaging |
| 700 | __ | |aMythili, P|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/480041|yShodhganga |
| 905 | __ | |afromsg |
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