Multi-variate optimal speckle reduction in SAR imagery

被引:90
作者
Bruniquel, J [1 ]
Lopes, A [1 ]
机构
[1] ALCATEL ESPACE,F-31037 TOULOUSE,FRANCE
关键词
D O I
10.1080/014311697218962
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
This paper addresses a speckle reduction method of coregistered SAR images based on pixel-to-pixel summation. The sample intensity summation technique (incoherent summation) is well known and is successfully applied to obtain multi-look data. It is shown that the speckle reduction obtained by such a summation depends on the speckle correlation across all the channels. On the contrary, a coherent summation performed by the Whitening Filter leads to an optimal speckle reduction. A comprehensive review of multi-channel summations is presented, followed by practical results obtained from multi-temporal SAR ERS-1 images.
引用
收藏
页码:603 / 627
页数:25
相关论文
共 33 条
[1]  
ADAIR M, 1990, CANADIAN J REMOTE SE, V16, P10
[2]  
[Anonymous], 1982, RADAR REMOTE SENSING
[3]  
BROOKS SR, 1979, P ESA SEASAT WORKSH, P79
[4]  
BRUNIQUEL J, 1996, P INT GEOSC REM SENS, V1, P387
[5]  
BRUNIQUEL J, 1996, THESIS U P SABATIER
[6]  
FROST VS, 1982, IEEE T PAMI, V4, P185
[7]  
FUKUNAGA K, 1972, INTRO PATTERN RECOGN
[8]  
GOODMAN JW, 1976, STATISTICAL OPTICS
[9]   STATISTICAL-ANALYSIS BASED ON A CERTAIN MULTIVARIATE COMPLEX GAUSSIAN DISTRIBUTION (AN INTRODUCTION) [J].
GOODMAN, NR .
ANNALS OF MATHEMATICAL STATISTICS, 1963, 34 (01) :152-&
[10]  
KENDALL MG, 1969, ADV THEORY STATISTIC, V1