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Remote Sensing Technology and Application
    
Building Height Estimation from GF-2 Image based on Morphological Shadow Index
Tian Feng1,2,4,Chen Donghua2,4,Huang Xinli2,4,Li Hu2,3,4,Yao Guohui2,4,5
(1.College of Resources and Environment Sciences,Xinjiang University,Urumqi 83000,China;
2.Satellite Application Center of Xinjiang Uygur Autonomous Region,Urumqi 83000,China;
3.Chuzhou University,Chuzhou 239000,China;
4.Urumchi Beichen Zhongxing Spatial Information Technology Co.,LTD,Urumqi 83000,China;
5.College of geography and marine science,Nanjing University,Nanjing 210000,China;
6.Forestry Research Institute,Xinjiang Agricultural University,Urumqi 83000,China
7.College of Grassland and Environment Sciences,Xinjiang Agricultural University,Urumqi 83000,China)
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Abstract  GF-2 is a high resolution earth observing satellite with sub\|meter resolution which is developed by our own technique.To estimate urban building height based on GF\|2 remote sensing image combined with the idea of mathematical morphology and object\|oriented classification.First of all,segment image based on multi\|scale segmentation.Then extract shadow and calculate its length based on object\|oriented classification combined with spectral,shape,Morphological Shadow Index (MSI) and other features.In the end,estimate building height based on the geometrical model of satellite,sun and building and then accuracy evaluation and error analysis are carried out by using the field measurement data.Experimental results showed that 90% of the buildings’ absolute error is less than 1 m.This experiment demonstrate that the method can extract the height of urban building from the GF\|2 image effectively and the immense potential of domestic high resolution remote sensing image in applications on urban building information extraction.

Key words:  GF-2;Morphological shadow index;Object\      oriented;Shadow extraction;Building height     
Received:  18 August 2016      Published:  02 November 2017
TP 79  
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Tian Feng
Chen Donghua
Huang Xinli
Li Hu
Yao Guohui

Cite this article: 

Tian Feng,Chen Donghua,Huang Xinli,Li Hu,Yao Guohui. Building Height Estimation from GF-2 Image based on Morphological Shadow Index. Remote Sensing Technology and Application, 2017, 32(5): 844-850.

URL: 

http://www.rsta.ac.cn/EN/10.11873/j.issn.1004-0323.2017.5.0844     OR     http://www.rsta.ac.cn/EN/Y2017/V32/I5/844

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