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MCG GPR dataset

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https://zenodo.org/record/14270868
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MCG GPR dataset   The MCG GPR (Mixed Cropped Ground Penetrating Radar) dataset consists of randomly cropped and curated GPR images sourced from publicly available data. This dataset was initially developed for machine learning applications, with images processed using multiple segmentation techniques including Gabor filters, Histogram of Oriented Gradient (HOG), Eigenvector analysis, Clustering (K-means), and Gradient of Texture approaches, to create initial labels for each image. These methods were employed to extract relevant attributes for GPR image segmentation. After that, the most representative labels were selected, and fixed manually. Dataset Specifications:- Image dimensions: 340 × 720 pixels (height × width)- Classification: Binary (background and foreground features)- Image format: PNG- Mask format: PNG     The data collected are from the following sources:  Ground penetrating radar dataset [1] Archive of Ground Penetrating Radar Data Collected During USGS Field Activity 13BIM01: Dauphin Island, Alabama, April 2013 [2] Probing Shallow Aquifers in Hyper-Arid Dune Fields Using VHF Sounding Radar: Raw ground-penetrating radar (GPR) data [3] Ground-Penetrating Radar Data and Differential Global Positioning System Data Collected from Long Beach Island, New Jersey, April 2015 [4]   [1] Florez-Lozano, Johana; Caraffini, Fabio; Gongora, Mario; Parra, Carlos (2019). Ground penetrating radar dataset. De Montfort University. Dataset. https://doi.org/10.21253/DMU.8323049.v1 [2] Forde, A. S., Smith, C. G., & Reynolds, B. J. (2016). Archive of ground penetrating radar data collected during USGS field activity 13BIM01—Dauphin Island, Alabama, April 2013 (No. 982). US Geological Survey. Available at: https://pubs.usgs.gov/ds/0982/ds982_data_downloads.html [3] Essam Heggy, Jonathan C.L. Normand, Elizabeth M. Palmer, Giovanni Scabbia, Ali K.S. Al-Maktoumi, Annamaria Mazzoni, J. Lee Blanton, Sophie J.N. Schaefer, Jean-Philippe Avouac. (2023). Probing Shallow Aquifers in Hyper-Arid Dune Fields Using VHF Sounding Radar: Raw ground-penetrating radar (GPR) data. IEEE Dataport. https://dx.doi.org/10.21227/ckx7-0s88 [4] Zaremba, N.J., Smith, K.E.L., Bishop, J.M., and Smith, C.G., 2016, Ground-penetrating radar and differential global positioning system data collected from Long Beach Island, New Jersey, April 2015: U.S. Geological Survey Data Series 1006, http://dx.doi.org/10.3133/ds1006. ISSN: 2327-638X (online)
创建时间:
2024-12-03
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