Suppressing the coherent speckle of SAR images with wavelet analysis

1998 ◽  
Vol 15 (2) ◽  
pp. 97-106
Author(s):  
Jian Tang ◽  
Zhensong Wang
Keyword(s):  
Wavelet Analysis ◽  
Sar Images

Wind direction estimation from SAR images of the ocean using wavelet analysis

2002 ◽  
Vol 28 (3) ◽  
pp. 498-509 ◽  
Author(s):  
Yong Du ◽  
Paris W Vachon ◽  
John Wolfe
Keyword(s):  
Wavelet Analysis ◽  
Wind Direction ◽  
Sar Images ◽  
Direction Estimation

scholarly journals Tracking of Ice Edges and Ice Floes by Wavelet Analysis of SAR Images

1997 ◽  
Vol 14 (5) ◽  
pp. 1187-1198 ◽  
Author(s):  
Antony K. Liu ◽  
Seelye Martin ◽  
Ronald Kwok
Keyword(s):  
Wavelet Analysis ◽  
Sar Images ◽  
Ice Floes

scholarly journals Wavelet Analysis of SAR Images for Coastal Monitoring

2000 ◽  
Vol 26 (6) ◽  
pp. 494-500 ◽  
Author(s):  
A.K. Liu ◽  
S.Y. Wu ◽  
W.Y. Tseng ◽  
W.G. Pichel
Keyword(s):  
Wavelet Analysis ◽  
Coastal Monitoring ◽  
Sar Images

Classification of Acceleration Waveforms during Walking by Wavelet Transform

1997 ◽  
Vol 36 (04/05) ◽  
pp. 356-359 ◽  
Author(s):  
M. Sekine ◽  
M. Ogawa ◽  
T. Togawa ◽  
Y. Fukui ◽  
T. Tamura
Keyword(s):  
Wavelet Transform ◽  
Wavelet Analysis ◽  
Center Of Gravity ◽  
Dynamic Responses ◽  
Sequential Data ◽  
Acceleration Signal ◽  
Continuous Dynamic

Abstract:In this study we have attempted to classify the acceleration signal, while walking both at horizontal level, and upstairs and downstairs, using wavelet analysis. The acceleration signal close to the body’s center of gravity was measured while the subjects walked in a corridor and up and down a stairway. The data for four steps were analyzed and the Daubecies 3 wavelet transform was applied to the sequential data. The variables to be discriminated were the waveforms related to levels -4 and -5. The sum of the square values at each step was compared at levels -4 and -5. Downstairs walking could be discriminated from other types of walking, showing the largest value for level -5. Walking at horizontal level was compared with upstairs walking for level -4. It was possible to discriminate the continuous dynamic responses to walking by the wavelet transform.

Study of Identification Method of Drunk Driving Based on Wavelet Analysis

ICCTP 2011 ◽  
2011 ◽  
Author(s):  
Xing-jian Zhang ◽  
Xiao-hua Zhao ◽  
Jian Rong ◽  
Shi-li Xu
Keyword(s):  
Wavelet Analysis ◽  
Drunk Driving ◽  
Identification Method
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