Title :
Prominent point InSAR processing
Author :
Wei, HaiJun ; Huang, Haifeng ; Dong, Zhen ; Zhu, Jubo
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
The statistical property of prominent points in SAR interferometry is discussed after the derivation of the probability density function of Hermitian product of two correlated Rice class SAR signals. A simple processing strategy is then provided for better phase unwrapping performance based on prominent points. The validaity of the proposed method is demonstrated by ENVISAT data. Our initial results show the advantage of such algorithm over conventional ones.
Keywords :
radar interferometry; synthetic aperture radar; ENVISAT data; Hermitian product; Rice class SAR signals; SAR interferometry; probability density function; prominent point InSAR processing; synthetic aperture radar; Accuracy; Correlation; Interferometry; Pixel; Probability density function; Synthetic aperture radar; Thyristors; Differential SAR interferometry; InSAR; Prominent Point;
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
DOI :
10.1109/ICOSP.2010.5656036