Deep learning-based approach for landform classification from integrated data sources of digital elevation model and imagery-Reference-Cited by-同舟云学术

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Deep learning-based approach for landform classification from integrated data sources of digital elevation model and imagery

Published:2020-04 Issue: Volume:354 Page:107045
ISSN:0169-555X
Container-title:Geomorphology
language:en
Short-container-title:Geomorphology

Author:

Li Sijin,Xiong Liyang,Tang Guoan,Strobl Josef

Funder

National Natural Science Foundation of China

Priority Academic Program Development of Jiangsu Higher Education Institutions.

Publisher

Elsevier BV

Subject

Earth-Surface Processes

Reference75 articles.

1. Segmentation optimization and stratified object-based analysis for semi-automated geomorphological mapping;Anders;Remote Sens. Environ.,2011

2. Random forest in remote sensing: a review of applications and future directions;Belgiu;ISPRS J. Photogramm. Remote Sens.,2016

3. Power-aware multi-data center management using machine learning;Berral,2013

4. Object based image analysis for remote sensing;Blaschke;ISPRS Journal of Photogrammetry and Remote Sensing,2010

5. Remote sensing and GIS-based regional geomorphological mapping—a tool for land use planning in developing countries;Bocco;Geomorphology,2001

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