A multi-scale mapping approach based on a deep learning CNN model for reconstructing high-resolution urban DEMs

L. Jiang, Y. Hu, X. Xia, Q. Liang, A. Soltoggio, S.R. Kabir

Research output: Contribution to journal › Article › peer-review

Access to Document

@article{58a43bd1e77341bfb1f469961bd8918c,

title = "A multi-scale mapping approach based on a deep learning CNN model for reconstructing high-resolution urban DEMs",

author = "L. Jiang and Y. Hu and X. Xia and Q. Liang and A. Soltoggio and S.R. Kabir",

year = "2020",

doi = "10.3390/w12051369",

language = "English",

journal = "Water (Switzerland)",

issn = "0310-0367",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

}

TY - JOUR

T1 - A multi-scale mapping approach based on a deep learning CNN model for reconstructing high-resolution urban DEMs

AU - Jiang, L.

AU - Hu, Y.

AU - Xia, X.

AU - Liang, Q.

AU - Soltoggio, A.

AU - Kabir, S.R.

PY - 2020

Y1 - 2020

UR - http://www.scopus.com/inward/record.url?eid=2-s2.0-85085934856&partnerID=MN8TOARS

UR - https://www.scopus.com/pages/publications/85085934856

U2 - 10.3390/w12051369

DO - 10.3390/w12051369

M3 - Article

SN - 0310-0367

JO - Water (Switzerland)

JF - Water (Switzerland)

ER -