Three-Dimensional Stereo Reconstruction of Buildings Using Polarimetric SAR Images Acquired in Opposite Directions

2008 ◽  
Vol 5 (2) ◽  
pp. 236-240 ◽  
Author(s):  
Eryan Dai ◽  
Ya-Qiu Jin ◽  
T. Hamasaki ◽  
M. Sato
Keyword(s):  
Three Dimensional ◽  
Polarimetric Sar ◽  
Sar Images ◽  
Stereo Reconstruction

3D-SPIHT Compression of Multi-polarimetric SAR Images

2011 ◽  
Vol 30 (1) ◽  
pp. 216-219
Author(s):  
Wen-chao Zhang ◽  
Yan-fei Wang ◽  
Zhi-gang Pan
Keyword(s):  
Polarimetric Sar ◽  
Sar Images

Selection of Suitable Window Size for Speckle Reduction and Deblurring using SOFM in Polarimetric SAR Images

2015 ◽  
Vol 43 (4) ◽  
pp. 739-750 ◽  
Author(s):  
Sanjay Shitole ◽  
Shaunak De ◽  
Y. S. Rao ◽  
B. Krishna Mohan ◽  
Anup Das
Keyword(s):  
Window Size ◽  
Speckle Reduction ◽  
Polarimetric Sar ◽  
Sar Images ◽  
Selection Of

scholarly journals Land Cover Classification for Polarimetric SAR Images Based on Mixture Models

2014 ◽  
Vol 6 (5) ◽  
pp. 3770-3790 ◽  
Author(s):  
Wei Gao ◽  
Jian Yang ◽  
Wenting Ma
Keyword(s):  
Land Cover ◽  
Mixture Models ◽  
Land Cover Classification ◽  
Polarimetric Sar ◽  
Sar Images

scholarly journals Estimation of three-dimensional crustal movements in the 2011 Tohoku-oki, Japan earthquake from TerraSAR-X intensity images

2014 ◽  
Vol 2 (12) ◽  
pp. 7383-7408
Author(s):  
W. Liu ◽  
F. Yamazaki ◽  
M. Matsuoka ◽  
T. Nonaka ◽  
T. Sasagawa
Keyword(s):  
Three Dimensional ◽  
Short Time Period ◽  
Sar Images ◽  
Crustal Movements ◽  
Surface Displacements ◽  
Time Period ◽  
Intensity Images ◽  
Short Time ◽  
The Relationship ◽  
Gps Observations

Abstract. The Tohoku-Oki earthquake on 11 March 2011 caused significant widespread crustal movements. In a previous study, we proposed a method for capturing two-dimensional (2-D) surface displacements from a pair of pre- and post-event TerraSAR-X (TSX) intensity images. However, it is difficult to detect three-dimensional (3-D) displacements from one pair of TSX images. In this study, three pairs of pre- and post-event TSX images taken on different paths were used to estimate 3-D crustal movements. The relationship between the actual 3-D displacements and the converted 2-D movements in the SAR images was derived based on the observation model of a SAR sensor. The 3-D movements were then calculated from three sets of detected 2-D movements that occurred within a short time period. Compared with GPS observations, the proposed method was found to be capable of detecting the 3-D crustal movements with sub-pixel accuracy.

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