Characterization of dynamic sea scenarios with infrared imagers

被引:10
作者
López-Alonso, JM [1 ]
Alda, J [1 ]
机构
[1] Univ Complutense Madrid, Dept Opt, Sch Opt, Madrid 28037, Spain
关键词
D O I
10.1016/j.infrared.2004.06.003
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
The study of marine scenes has always been a relevant subject for environmental sciences and ocean engineering. In this contribution we have analyzed infrared imagery applied to surveillance of the sea surface. We present a method based on the principal component analysis to study infrared sea scenes separating the actual scene from spatial-temporal artifacts coming from the imagers. Besides the filtering capabilities, the method obtains spatial-temporal correlation functions and the power spectrum density of the original data set. A time scale associated with the noise of the imager is defined. Solar glints identification is also addressed. One relevant feature of this method is its automatic implementation. (c) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:355 / 363
页数:9
相关论文
共 14 条
[1]  
ALVAREZBORREGO J, 1993, J GEOPHYS RES, V98, P10245
[2]  
[Anonymous], NUMERICAL RECIPES FO
[3]   MEASUREMENT OF THE ROUGHNESS OF THE SEA SURFACE FROM PHOTOGRAPHS OF THE SUNS GLITTER [J].
COX, C ;
MUNK, W .
JOURNAL OF THE OPTICAL SOCIETY OF AMERICA, 1954, 44 (11) :838-850
[4]   Modelling bivariate distributions of significant wave height and mean wave period [J].
Ferreira, JA ;
Soares, CG .
APPLIED OCEAN RESEARCH, 2002, 24 (01) :31-45
[5]  
FRIEDEN BR, 2001, PROBABILITY STAT OPT
[6]   Low-dimensional dynamical system model for observed coherent structures in ocean satellite data [J].
López, C ;
Hernández-García, E .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2003, 328 (1-2) :233-250
[7]   Characterization of artifacts in fully digital image-acquisition systems:: Application to web cameras [J].
López-Alonso, JM ;
Alda, J .
OPTICAL ENGINEERING, 2004, 43 (01) :257-265
[8]   Operational parametrization of the 1/f noise of a sequence of frames by means of the principal component analysis in focal plane arrays [J].
López-Alonso, JM ;
Alda, J .
OPTICAL ENGINEERING, 2003, 42 (07) :1915-1922
[9]   Principal-component characterization of noise for infrared images [J].
López-Alonso, JM ;
Alda, J ;
Bernabéu, E .
APPLIED OPTICS, 2002, 41 (02) :320-331
[10]   Bad pixel identification by means of principal components analysis [J].
López-Alonso, JM ;
Alda, J .
OPTICAL ENGINEERING, 2002, 41 (09) :2152-2157