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Preprocessing of A Scan GPR Based on Energy Features
Date
2016-04-21
Author
DOĞAN, MESUT
Sayan, Gönül
Metadata
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This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
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Subject Keywords
Feature extraction
,
cumulative energy curves
,
Preprocessing
,
Landmine detection
,
Ground penetrating radar
URI
https://hdl.handle.net/11511/38428
DOI
https://doi.org/10.1117/12.2223946
Conference Name
Conference on Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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Ground penetrating radar (GPR) is an electromagnetic sensor based on the ultra-wideband radar technology that can also be used for through-the-wall (TTW) target recognition. Search for the presence of designated targets hidden behind the walls, such as stationary or moving human bodies or certain types of weapons, is addressed in various critical applications; in rescue missions after earthquakes or in military operations, etc. In such inverse problems, type of the wall is as important as the properties and...
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Ground penetrating radar (GPR) is a powerful technology for detection and identification of buried explosives especially with little or no metal content. However, subsurface clutter and soil distortions increase false alarm rates of current GPR-based landmine detection and identification methods. Most existing algorithms use shape- based, image-based and physics-based techniques. Analysis of these techniques indicates that each type of algorithms has a different perspective to solve landmine detection and i...
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M. DOĞAN and G. Sayan, “Preprocessing of A Scan GPR Based on Energy Features,” presented at the Conference on Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, Baltimore, MD, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38428.