DocumentCode :
3413947
Title :
Man-made structure height estimation via a single VHR SAR intensity image
Author :
Jiang, Li-bing ; Guo, Wei-wei ; Wang, Zhuang ; Yu, Wen-xian
Author_Institution :
ATR Key Lab., Nat. Univ. of Defense Technol., Changsha, China
Volume :
2
fYear :
2011
fDate :
24-27 Oct. 2011
Firstpage :
1535
Lastpage :
1538
Abstract :
Height estimation of man-made structures in urban and suburban areas is an interesting but challenging problem, especially from single SAR image, which usually occurs in emergency response after crisis. A novel model based height estimation approach is proposed, which finds a best match between parameterized object model and the observed single intensity SAR image data. Firstly, a projection function for single bounce signal return between 3D object model and corresponding characteristic regions in SAR image is constructed, which make the model generation phase very simple and fast. Then, a new likelihood measure for the matching between the height hypothesis and the SAR data is proposed in the respect of image segmentation. The matching procedure is iterated until a global maximum similarity is achieved and then the height estimation is obtained, which is realized by the simulated annealing algorithm. The experiments performed on general terms of buildings in the simulated SAR image data set verify its validity.
Keywords :
image matching; image segmentation; radar imaging; simulated annealing; synthetic aperture radar; 3D object model; SAR data; emergency response; global maximum similarity; image segmentation; likelihood measure; man-made structure height estimation; matching procedure; model based height estimation; model generation phase; parameterized object model; projection function; simulated SAR image data set; simulated annealing algorithm; single SAR image; single VHR SAR intensity image; single bounce signal return; single intensity SAR image data; suburban areas; Buildings; Estimation; Image segmentation; Noise; Simulated annealing; Solid modeling; Three dimensional displays; Very High Resolution SAR; height estimation; image segmentation; likelihood criterion; simulated annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
Type :
conf
DOI :
10.1109/CIE-Radar.2011.6159854
Filename :
6159854
Link To Document :
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