Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)

Research on the Relationship between the Spatial Resolution and the Map Scale in the Satellite Remote Sensing Cartographies

Authors
Li Li, Yue Qiang, Zhou Zheng, Jin-yu Zhang
Corresponding Author
Li Li
Available Online July 2019.
DOI
10.2991/masta-19.2019.33How to use a DOI?
Keywords
Remote sensing mapping, The spatial resolution, The minimum unit on the map, The map scales
Abstract

It is a key technology to select the optimal spatial resolution of the remote sensing imagery to achieve the accuracy of map scale in the process of drawing satellite remote sensing maps. In this paper, through investigating the relationship between pixel size, the minimum unit on the map, the image accuracy and the spatial resolution of images, the mathematical model of the optimal collocation relationship between the high space resolution and map scale has been put forward. And the feasibility of the model has been verified by a range of experiments.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
Series
Advances in Intelligent Systems Research
Publication Date
July 2019
ISBN
978-94-6252-761-4
ISSN
1951-6851
DOI
10.2991/masta-19.2019.33How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Li Li
AU  - Yue Qiang
AU  - Zhou Zheng
AU  - Jin-yu Zhang
PY  - 2019/07
DA  - 2019/07
TI  - Research on the Relationship between the Spatial Resolution and the Map Scale in the Satellite Remote Sensing Cartographies
BT  - Proceedings of the 2019 International Conference on Modeling, Analysis, Simulation Technologies and Applications (MASTA 2019)
PB  - Atlantis Press
SP  - 194
EP  - 199
SN  - 1951-6851
UR  - https://doi.org/10.2991/masta-19.2019.33
DO  - 10.2991/masta-19.2019.33
ID  - Li2019/07
ER  -