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In 'rawPixelPointPair.csv' columns are: image coordinate: halfH_x [:,0] halfH_y [:,1] H_x [:,2] H_y [:,3] pixel coordinate: halfH_u [:,5].astype(np.int64).tolist() halfH_v [:,6].astype(np.int64).tolist() H_u=(H_x+imageW//2).astype(np.int64).tolist() H_v=(H_y+imageH//2).astype(np.int64).tolist() MatchingQuaility: [:,9].astype(np.int64) For use, please cite:[1] Jiang, Y., and Bai, Y. (2020a). “Estimation of Construction Site Elevations Using Drone-Based Orthoimagery and Deep Learning.” Journal of Construction Engineering and Management, 146(8), 04020086, https://doi.org/10.1061/(ASCE)CO.1943-7862.0001869.[2] Jiang, Y., and Bai, Y. (2020b). “Determination of Construction Site Elevations Using Drone Technology.” Construction Research Congress 2020, American Society of Civil Engineers, Reston, VA, 296–305.[3] Jiang, Y., and Bai, Y. (2021). “Low–High Orthoimage Pairs-Based 3D Reconstruction for Elevation Determination Using Drone.” Journal of Construction Engineering and Management, 147(9), 04021097, https://doi.org/10.1061/(ASCE)CO.1943-7862.0002067.[4] Jiang, Y., Bai, Y., and Han, S. (2020). “Determining Ground Elevations Covered by Vegetation on Construction Sites Using Drone-Based Orthoimage and Convolutional Neural Network.” Journal of Computing in Civil Engineering, 34(6), 04020049, https://doi.org/10.1061/(ASCE)CP.1943-5487.0000930.[5] Han, S., Jiang, Y., and Bai, Y. (2022). “Fast-PGMED: Fast and Dense Elevation Determination for Earthwork Using Drone and Deep Learning.” Journal of Construction Engineering and Management, 148(4), 04022008, https://doi.org/10.1061/(ASCE)CO.1943-7862.0002256.
In 'rawPixelPointPair.csv' columns are: image coordinate: halfH_x [:,0] halfH_y [:,1] H_x [:,2] H_y [:,3] pixel coordinate: halfH_u [:,5].astype(np.int64).tolist() halfH_v [:,6].astype(np.int64).tolist() H_u=(H_x+imageW//2).astype(np.int64).tolist() H_v=(H_y+imageH//2).astype(np.int64).tolist() MatchingQuaility: [:,9].astype(np.int64) For use, please cite:[1] Jiang, Y., and Bai, Y. (2020a). “Estimation of Construction Site Elevations Using Drone-Based Orthoimagery and Deep Learning.” Journal of Construction Engineering and Management, 146(8), 04020086, https://doi.org/10.1061/(ASCE)CO.1943-7862.0001869.[2] Jiang, Y., and Bai, Y. (2020b). “Determination of Construction Site Elevations Using Drone Technology.” Construction Research Congress 2020, American Society of Civil Engineers, Reston, VA, 296–305.[3] Jiang, Y., and Bai, Y. (2021). “Low–High Orthoimage Pairs-Based 3D Reconstruction for Elevation Determination Using Drone.” Journal of Construction Engineering and Management, 147(9), 04021097, https://doi.org/10.1061/(ASCE)CO.1943-7862.0002067.[4] Jiang, Y., Bai, Y., and Han, S. (2020). “Determining Ground Elevations Covered by Vegetation on Construction Sites Using Drone-Based Orthoimage and Convolutional Neural Network.” Journal of Computing in Civil Engineering, 34(6), 04020049, https://doi.org/10.1061/(ASCE)CP.1943-5487.0000930.[5] Han, S., Jiang, Y., and Bai, Y. (2022). “Fast-PGMED: Fast and Dense Elevation Determination for Earthwork Using Drone and Deep Learning.” Journal of Construction Engineering and Management, 148(4), 04022008, https://doi.org/10.1061/(ASCE)CO.1943-7862.0002256.
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