Machine-Learning-Method-Based Inversion of Shallow Bathymetric Maps Using ICESat-2 ATL03 Data-Reference-Cited by-同舟云学术

Machine-Learning-Method-Based Inversion of Shallow Bathymetric Maps Using ICESat-2 ATL03 Data

Published:2023 Issue: Volume:16 Page:3697-3714
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Xie Tao¹^ORCID,Kong Ruiyao²,Nurunnabi Abdul³^ORCID,Bai Shuying²,Zhang Xuehong²

Affiliation:

1. School of Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, China

2. School of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing, China

3. Department of Geodesy and Geospatial Engineering, Institute of Civil and Environmental Engineering, University of Luxembourg, Esch-sur-Alzette, Luxembourg

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9973430/10079109.pdf?arnumber=10079109

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