Structure aware noise reduction of multi-channel ground penetrating radar data using Principal Component Analysis

Multi-channel ground penetrating radar (GPR) may contain interference and decoupling noise. Principal Components Analysis (PCA) is applied to adjacent GPR data channels to reduce noise. Structure aware image fusion only replaces areas of isolated noise.

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Published in:
Advances in On- and Offshore Archaeological Prospection
Publisher:
Universitätsverlag Kiel | Kiel University Publishing
Publishing place:
Kiel
Pages:
427 - 429
URN:
urn:nbn:de:gbv:8:3-2023-00206-9
DOI:
10.38072/978-3-928794-83-1/p87
Language:
English
Type of Resource:
Text
Keywords:
ground penetrating radar; noise reduction; Principal Component Analysis; structure aware image fusion
DDC subject of DNB:
550 Earth sciences
Hosting institution:
Faculties, Faculty of Mathematics and Natural Sciences
Related:
Clusters of Excellence, ROOTS
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