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A DEEP LEARNING APPROACH FOR URBAN UNDERGROUND OBJECTS DETECTION FROM VEHICLE-BORNE GROUND PENETRATING RADAR DATA IN REAL-TIME
GPRs (Ground Penetrating Radar) are widely adopted in underground space survey and mapping, because of their advantages of fast data acquisition, convenience, high imaging resolution and NDT (Non Destructive Testing) inspection. However, at present, the automation of the GPR data post-processing is...
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| Hoofdauteurs: | , , , , , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Copernicus Publications
2019-09-01
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| Reeks: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online toegang: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W16/293/2019/isprs-archives-XLII-2-W16-293-2019.pdf |
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