Road condition assessment by OBIA and feature selection techniques using very high-resolution WorldView-2 imagery-Reference-Cited by-同舟云学术

Road condition assessment by OBIA and feature selection techniques using very high-resolution WorldView-2 imagery

Published:2016-08-02 Issue:12 Volume:32 Page:1389-1406
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Shahi Kaveh¹,Shafri Helmi Zulhaidi Mohd¹²,Hamedianfar Alireza¹³⁴

Affiliation:

1. Faculty of Engineering, Department of Civil Engineering, Universiti Putra Malaysia (UPM), Serdang, Malaysia

2. Faculty of Engineering, Geospatial Information Science Research Center (GISRC), Universiti Putra Malaysia (UPM), Serdang, Malaysia

3. Department of Surveying Engineering, Islamic Azad University, Estahban, Iran

4. Young Researchers and Elite Club, Islamic Azad University, Estahban, Iran

Funder

Fundamental Research Grant Scheme

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2016.1213888

Reference66 articles.

1. AASHTO. 2009. Rough roads ahead, fix them now or pay for it later. Technical Report. Washington (DC): A Joint Product of American Association of State Highway and Transportation Officials, and TRIP-a National Transportation Research Group.

2. Phishing detection based Associative Classification data mining

3. Feature-based detection using Bayesian data fusion

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