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Remote Sensing Technology and Application  2005, Vol. 20 Issue (4): 425-429    DOI: 10.11873/j.issn.1004-0323.2005.4.425
Airborne Synthetic Aperture Radiometer image and Optical Data Fusion and Evaluation
WU Fan1, WANG Chao1, ZHANG Wei-guo1, ZHANG Hong1,2
(1.State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing Applications,Chinese
Academy of Sciences,Beijing100101,China; 2.State Key Laboratory of Remote Sensing Science,
College of Geography and Remote Sensing,Beijing Normal University,Beijng100875,China)
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Microwave radiometer image contains information of ground brightness temperature.For its low resolution and unclear object' s shape, it is not convenient to be studied. Something like SAR, synthetic aperture microwave radiometer also has the characteristics that it can acquire images during day and night and with all weather conditions. Moreover, it has the ability to“penetrate”surface soil or vegetation under lower frequency region. Contrast to the radiometer image, the optical images have higher resolution and contain different information. To integrate some features of these two kinds of images, some transform schemes, such as intensity-hue-saturation (IHS), principal component analysis (PCA) and wavelet transform (WT), were applied to merge the airborne synthetic aperture microwave radiometer and ETM+ images. The experiments show that the wavelet based transform method not only can preserve the spectral information of ETM+ image well, but also can preserve the texture information from radiometer image.In conclusion, the WT approach has the best potential among those three methods.

Key words:  Synthetic aperture radiometer      Image fusion      Intensity-hue-saturation transform      Principal
component analysis
      Wavelet transform     
Received:  07 December 2004      Published:  27 October 2011
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WU Fan, WANG Chao, ZHANG Wei-guo, ZHANG Hong. Airborne Synthetic Aperture Radiometer image and Optical Data Fusion and Evaluation. Remote Sensing Technology and Application, 2005, 20(4): 425-429.

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〔1〕 董晓龙,吴季,黄永辉.综合孔径微波辐射计及其反演成像〔J〕.遥感技术与应用,2000,15(2):74~78.
〔2〕 Xiaolong Dong, Ji Wu, Suyun Zhu,et al. Design and Implementation of CAS C-band Interfereometric Synthetic Aperture Radiometer〔J〕. Proceedings of IGARSS' 00, 2000, 2:866~868.
〔3〕 Pohl C, Van J L. Multisensor Image Fusion in Remote Sensing: Concepts, Methods and Applications〔J〕. INT J Remote Sensing, 1998, 19(5):823~854.
〔4〕 Tian Pu, Guoqiang Ni. Contrast-based Image Fusion Usingthe Discrete Wavelet Transform〔J〕. Optical Engineering,2000, 39(8):2075~2082.
〔5〕 Zhang W G, Wang C, Wu J,et al. Image Correction andPreliminary Analysis of A Field Measurement by A C-bandAirbone Microwave Synthetic Apeture Radiometer〔J〕. Proceedings of IGARSS' 03, 2003.
〔6〕 Zhou J, Civco D L, Silander J A. A Wavelet Transform Method to Merge Landsat TM and SPOT Panchromatic Data 〔J〕. INT J Remote Sensing, 1998,19(4): 743~757.
〔7〕 Harris J R, Murray R, Hirose T. IHS Transform for the Integration of Radar Imagery and Other Remotely Sensed Data〔J〕. Photogrammetric Engineering and Remote Sensing,1990, 56(12):1631~1641.
〔8〕 Sheffigara V K. A Generalized Component Substitution Technique for Spatial Enhancement of Multispectral Images Using a Higher Resolution Data Sset〔J〕. Photogrammetric Engineering and Remote Sensing, 1992, 58(5):561~567.
〔9〕 Liu H, Wu J. Side Lobe Control in The Image Retrieving ofSynthetic Aperture Radiometer〔J〕. Proceedings of IGARSS' 03, 2003.

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