COMPARISON AMONG DIFFERENT QUALITY MAPS USED FOR PHASE UNWRAPPING
Xiao Feng 1,2) ; Wu Jicang 2,3) ; Liu Chaogong 2) ; and Zhang Lei 4)
1)Hangzhou Bureau of Land and Resources, Hangzhou 3100122)Dept. of Surveying and Geoinformatics, Tongji University, Shanghai 2000923)Key Lab. of Geodynamics, IGG, Wuhan 4300774)Dept. of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong
Abstract Qualityguided phase unwrapping algorithm is one of the most effective methods. In this category of algorithms, the pixels are unwrapped from the high quality points to the low quality ones. The success rate of phase unwrapping strongly depends on the quality map. We employ three quality maps (i.e., pseudocorrelation, phase derivative variance map and maximum phase gradient) as the guided maps and make some comparative analyses among them aiming to indicate which map performs best in general case.
Key words ：
InSAR
phase unwrapping
qualityguided phase unwrapping algorithm
pseudocorrelation map
simulation data
Received: 01 January 1900
Corresponding Authors:
Xiao Feng
Cite this article:
Xiao Feng,Wu Jicang,Liu Chaogong et al. COMPARISON AMONG DIFFERENT QUALITY MAPS USED FOR PHASE UNWRAPPING[J]. , 2010, 30(2): 80-85.
Xiao Feng,Wu Jicang,Liu Chaogong et al. COMPARISON AMONG DIFFERENT QUALITY MAPS USED FOR PHASE UNWRAPPING[J]. jgg, 2010, 30(2): 80-85.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2010/V30/I2/80
[1]
ZHANG Kexin,TIAN Chongrui,JIAO Jian,ZENG Qiming. Research on Smoothing in InSAR Ionospheric Correction
[2]
LIANG Shichuan,QU Wei,CHEN Hailu,GAO Yuan,LI Jiuyuan,LI Da. Source Parameter Inversion and Seismogenic Tectonic of the Nyima MW 6.3 Earthquake in Tibet on July 23, 2020 Based on InSAR
[3]
LI Honghui,HOU Zhandong,LI Shujian. Analysis of Characteristics and Causes of Land Subsidence in Changzhou by Time Series InSAR
[4]
ONG Qi,GAO Ertao,YU Hangming,LAN Yanping. Research on the Sensitivity of Deep Slip Inversion for Earthquake Fault Slip Constrained by InSAR and GPS Geodetic Deformation Data
[5]
ZHANG Lele,LIU Bo,JIA Shili,CHANG Yinghao,WANG Jiabing,WEI Zengming. Reconstruction of Time Series Three-Dimensional Multi-Level Deformation in Mining Area Based on Single OT DInSAR Pair
[6]
YANG Xing,XIAO Huaiqian,HOU Miao,MIAO Rongrong,WENG Songgan,ZHANG Zexiong. Feasibility Study on the Vertical Displacement Monitoring Method of Jiangsu Sluice Based on InSAR
[7]
ZHONG Chuhan,WANG Qiang,WANG Xiaying,ZHANG Shuangcheng,NIU Yufen. Surface Displacement Monitoring and Inducing Factors Analysis of Dongying City Base on InSAR
[8]
PAN Guangyong,WANG Xin,ZHANG Jingfa,LIU Guolin,WANG Jiqiang,HOU Zhigang,LI Bingquan. Interpretation and Analysis of Multi-Source Remote Sensing Fault Structure in Taiyangshan Fault Zone and Surrounding Areas
[9]
NI Yipeng,NIE Zhaosheng,XIONG Wei,CHEN Wei,YU Pengfei. Coseismic Rupture Model of the 2018 Xaitongmoin MW 5.8 Earthquake Constrained by Sentinel-1 SAR Data
[10]
CHEN Weiran，ZHU Liangyu，SUN He，ZHANG Wenting，WANG Ying. The Monitoring and Analysis of Current Crustal Movement of Gyaring Co Fault Based on InSAR
[11]
DAI Zhihong，LU Peng，ZHANG Zhifang，WANG Xiaolong，XU Guo，DONG Jianming. Surface Subsidence Monitoring and Analysis of Nanning Based on PS-InSAR Technology
[12]
YU Shuyuan，YANG Yuanyuan，ZHANG Pengfei，SUN Jun，LUO Jiaji. Monitoring Land Subsidence and Fault Activity in Hefei City Based on MT-InSAR
[13]
ZHAI Xinyi，PAN Guangyong，CHEN Yang，LIU Guolin. L-Curve Characteristic Value Correction Iteration Method for SBAS-InSAR Deformation Inversion
[14]
ZHOU Wentao, ZHANG Wenjun, YANG Yuanji, MA Xudong, RAN Maoying. A Combined Model Prediction Method for Surface Subsidence Monitoring in Mining Areas
[15]
GAO Chen,CAO Jun,LIU Shufeng,MA Dong,LIU Siyu. The Current Surface Deformation Characteristics of Northern Margin Fault of Yangyuan Basin Based on GPS and SBAS-InSAR
