Extracting urban landmarks from geographical datasets using a random forests classifier-Reference-Cited by-同舟云学术

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Extracting urban landmarks from geographical datasets using a random forests classifier

Published:2019-05-28 Issue:12 Volume:33 Page:2406-2423
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Lin Yue¹²^ORCID,Cai Yuyang³,Gong Yue¹²,Kang Mengjun¹²,Li Lin¹²^ORCID

Affiliation:

1. School of Resource and Environmental Sciences, Wuhan University, Wuhan, China

2. Institute of Smart Perception and Intelligent Computing, Wuhan University, Wuhan, China

3. School of Geography and Information Engineering, China University of Geosciences, Wuhan, China

Funder

National Key Research and Development Program of China

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2019.1620238

Reference42 articles.

1. Evaluating the impact of red-edge band from Rapideye image for classifying insect defoliation levels

2. Effects of active and passive exploration of the built environment on memory during wayfinding

3. Identifying related landmark tags in urban scenes using spatial and semantic clustering

4. Formalisation of the level of detail in 3D city modelling

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