Computer vision models for comparing spatial patterns: understanding spatial scale-Reference-Cited by-同舟云学术

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Computer vision models for comparing spatial patterns: understanding spatial scale

Published:2022-07-27 Issue:1 Volume:37 Page:1-35
ISSN:1365-8816
Container-title:International Journal of Geographical Information Science
language:en
Short-container-title:International Journal of Geographical Information Science

Author:

Malik Karim¹^ORCID,Robertson Colin²,Roberts Steven A.²,Remmel Tarmo K.³^ORCID,Long Jed A.⁴^ORCID

Affiliation:

1. Department of Geography & Planning, University of Toronto, Toronto, Canada

2. Department of Geography & Environmental Studies, Wilfrid Laurier University, Waterloo, Canada

3. Faculty of Environmental & Urban Change, York University, Toronto, Canada

4. Department of Geography & Environment, Western University, London, Canada

Funder

Natural Sciences and Engineering Research Council, Canada

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/13658816.2022.2103562

Reference165 articles.

1. Albert, A. et al., 2017. Using Convolutional Networks and Satellite Imagery to Identify Patterns in Urban Environments at a Large Scale. In: Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining. Halifax, 1357–1366.

2. Going Deep in Medical Image Analysis: Concepts, Methods, Challenges, and Future Directions

3. Amirshahi, S.A., Marius, P., and Stella, X.Y., 2017. Image Quality Assessment by Comparing CNN Features between Images. Journal of Imaging Science and Technology, 60 (6), 060410-1.

4. Uniqueness of the Gaussian Kernel for Scale-Space Filtering

5. Land degradation versus fire: A spiral process?

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