Increasing the spatial resolution of thermal infrared images using cokriging

被引:15
作者
Rodriguez-Galiano, V. F. [1 ]
Pardo-Iguzquiza, E. [2 ]
Chica-Olmo, M. [1 ]
Rigol-Sanchez, J. P. [3 ]
机构
[1] Univ Granada, Dept Geodinam, E-18071 Granada, Spain
[2] Inst Geol Minero Espana IGME, Madrid 28003, Spain
[3] Univ Jaen, Dept Geolog, Jaen 23071, Spain
来源
1ST CONFERENCE ON SPATIAL STATISTICS 2011 - MAPPING GLOBAL CHANGE | 2011年 / 3卷
关键词
Image Enhancement; Fusion; Landsat; Thermal-InfraRed; Cokriging; Geostatistics; QUALITY;
D O I
10.1016/j.proenv.2011.02.021
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Thermal infrared (TIR) satellite images are of great interest in many remote sensing applications. However, owing to well-known physical reasons and technical limitations, the TIR band has a spatial resolution that is coarser than the other multispectral bands for a given satellite sensor, i.e. visible and shortwave IR. Although the correlation coefficient between the TIR band and the other spectral bands is relatively small, the spatial cross-correlation shows a pattern of joint variability. In this fact, and in the spatial correlation of each spectral band, reside the fundamentals of image fusion by cokriging. A method is showed here for obtaining TIR images with enhanced spatial resolution using the TIR band and one or more spectral bands of the same scene and better spatial resolution. The technique is illustrated with a Landsat 7 ETM+ image. The high resolution TIR image has perfect coherence, if the cokriged image is degraded to its original resolution the degraded image is identical to the original and values of ERGAS (Erreur Relative Globale Adimensionnelle de Synthese) and average Q (Image Quality Index) equal to 0.220 and 0.986 respectively were obtained. (c) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [name organizer]
引用
收藏
页码:117 / 122
页数:6
相关论文
共 7 条
[1]  
[Anonymous], 2006, Multivariate Geostatistics: An Introduction With Applications
[2]   Downscaling cokriging for super-re solution mapping of continua in remotely sensed images [J].
Atkinson, Peter M. ;
Pardo-Iguzquiza, Eulogio ;
Chica-Olmo, Mario .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2008, 46 (02) :573-580
[3]  
Pardo-Iguzquiza E., ISPRS J PHO IN PRESS, DOI [10.1016/j.isprsjprs.2011.1001.1001, DOI 10.1016/J.ISPRSJPRS.2011.1001.1001]
[4]   Downscaling cokriging for image sharpening [J].
Pardo-Iguzquiza, Eulogio ;
Chica-Olmo, Mario ;
Atkinson, Peter M. .
REMOTE SENSING OF ENVIRONMENT, 2006, 102 (1-2) :86-98
[5]  
Wald L, 1997, PHOTOGRAMM ENG REM S, V63, P691
[6]  
Wald L., 2000, INT C FUS EARTH DAT
[7]   A universal image quality index [J].
Wang, Z ;
Bovik, AC .
IEEE SIGNAL PROCESSING LETTERS, 2002, 9 (03) :81-84