Local color and morphological image feature based vegetation identification and its application to human environment street view vegetation mapping, or how green is our county?-Reference-Cited by-同舟云学术

Local color and morphological image feature based vegetation identification and its application to human environment street view vegetation mapping, or how green is our county?

Published:2020-07-02 Issue:3 Volume:23 Page:222-236
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Lauko Istvan G.¹,Honts Adam¹,Beihoff Jacob²,Rupprecht Scott³

Affiliation:

1. Department of Mathematical Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA

2. Lubar School of Business, University of Wisconsin-Milwaukee, Milwaukee, WI, USA

3. Scott Rupprecht Limited Liability Company, Milwaukee, WI, USA

Funder

National Science Foundation

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2020.1805367

Reference14 articles.

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2. Treepedia 2.0: Applying Deep Learning for Large-Scale Quantification of Urban Tree Cover

3. Davenport, C. 2017. “Google’s Street View Cameras are Getting an Upgrade.” Sept 5, 2017. https://www.androidpolice.com/

4. Google Environment. 2018. “Mapping the Invisible: Street View Cars Add Air Pollution Sensors.” accessed January 2018. https://environment.google/projects/airview

5. Harbaš, I., and M. Subašić. 2014. 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 1204–1209. Opatija, Croatia.

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