A two-dimensional region growing least squares phase unwrapping algorithm for interferometric SAR processing

1999 ◽  
Vol 37 (5) ◽  
pp. 2215-2226 ◽  
Author(s):  
G. Fornaro ◽  
E. Sansosti
Keyword(s):  
Least Squares ◽  
Region Growing ◽  
Phase Unwrapping ◽  
Two Dimensional ◽  
Interferometric Sar ◽  
Sar Processing

scholarly journals Improved weighted least-squares phase unwrapping method for interferometric SAR processing

2019 ◽  
Vol 2019 (20) ◽  
pp. 6471-6474 ◽  
Author(s):  
Yu Hui ◽  
Wang Wenying ◽  
Zhuang Long ◽  
Lei Wanming ◽  
Nie Xin ◽  
...  
Keyword(s):  
Least Squares ◽  
Weighted Least Squares ◽  
Phase Unwrapping ◽  
Interferometric Sar ◽  
Sar Processing

Bridging the Gap between Quantitative and Qualitative Historical Research: an application of multiple regression analysis and homogeneity analysis with alternating least squares

1996 ◽  
Vol 8 (3) ◽  
pp. 133-144 ◽  
Author(s):  
María del Mar del Pozo Andrés ◽  
Jacques F A Braster
Keyword(s):  
Least Squares ◽  
Multiple Regression ◽  
Historical Research ◽  
Alternating Least Squares ◽  
Categorical Variables ◽  
Two Dimensional ◽  
Homogeneity Analysis ◽  
Regression Approach ◽  
Dimensional Picture ◽  
Selection Of

In this article we propose two research techniques that can bridge the gap between quantitative and qualitative historical research. These are: (1) a multiple regression approach that gives information about general patterns between numerical variables and the selection of outliers for qualitative analysis; (2) a homogeneity analysis with alternating least squares that results in a two-dimensional picture in which the relationships between categorical variables are graphically presented.

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