Improving detailed rule-based feature extraction of urban areas from WorldView-2 image and lidar data-Reference-Cited by-同舟云学术

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Improving detailed rule-based feature extraction of urban areas from WorldView-2 image and lidar data

Published:2014-02-25 Issue:5 Volume:35 Page:1876-1899
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Hamedianfar Alireza¹,Shafri Helmi Zulhaidi Mohd¹²,Mansor Shattri¹²,Ahmad Noordin³

Affiliation:

1. Department of Civil Engineering, Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia

2. Geospatial Information Science Research Centre (GISRC), Faculty of Engineering, Universiti Putra Malaysia (UPM), 43400 Serdang, Selangor, Malaysia

3. National Space Agency, Bangunan Komersil PJH, 62570 Putrajaya, Malaysia

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2013.879350

Reference43 articles.

1. GeoEye-1 and WorldView-2 pan-sharpened imagery for object-based classification in urban environments

2. Pollutants in stormwater runoff in Shanghai (China): Implications for management of urban runoff pollution

3. Per-pixel and object-oriented classification methods for mapping urban features using Ikonos satellite data

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