Mask-Height R-CNN: An End-to-End Network for 3D Building Reconstruction from Monocular Remote Sensing Imagery

Author(s):  
Sining Chen ◽  
Lichao Mou ◽  
Qingyu Li ◽  
Yao Sun ◽  
Xiao Xiang Zhu
2021 ◽  
Vol 15 (02) ◽  
Author(s):  
Annus Zulfiqar ◽  
Muhammad M. Ghaffar ◽  
Muhammad Shahzad ◽  
Christian Weis ◽  
Muhammad I. Malik ◽  
...  

Author(s):  
Meziane Iftene ◽  
Mohammed El Amin Larabi ◽  
Moussa Sofiane Karoui

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 39401-39414 ◽  
Author(s):  
Xun Gao ◽  
Xian Sun ◽  
Yi Zhang ◽  
Menglong Yan ◽  
Guangluan Xu ◽  
...  

1994 ◽  
Vol 29 (1-2) ◽  
pp. 135-144 ◽  
Author(s):  
C. Deguchi ◽  
S. Sugio

This study aims to evaluate the applicability of satellite imagery in estimating the percentage of impervious area in urbanized areas. Two methods of estimation are proposed and applied to a small urbanized watershed in Japan. The area is considered under two different cases of subdivision; i.e., 14 zones and 17 zones. The satellite imageries of LANDSAT-MSS (Multi-Spectral Scanner) in 1984, MOS-MESSR(Multi-spectral Electronic Self-Scanning Radiometer) in 1988 and SPOT-HRV(High Resolution Visible) in 1988 are classified. The percentage of imperviousness in 17 zones is estimated by using these classification results. These values are compared with the ones obtained from the aerial photographs. The percent imperviousness derived from the imagery agrees well with those derived from aerial photographs. The estimation errors evaluated are less than 10%, the same as those obtained from aerial photographs.


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