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Remote Sensing Technology and Application  2010, Vol. 25 Issue (6): 836-841    DOI: 10.11873/j.issn.1004-0323.2010.6.836
Research of Fusion Algorithm based on SAR and SPOT
ZOU Li-li,CUI Hai-shan,LI Ying,WU Yu-jing
(School of Geographical Sciences,Guangzhou University,Guangzhou 51000,China)
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The high resolution sea surface wind speeds retrieval from SAR image is of great significance in the field of microwave remote sensing.A preliminary study about the high resolution sea surface wind speeds retrieval from SAR image combing with the NCEP/QSCAT blended sea surface wind directions was introduced.As a case study,this method was applied on one scene ENVISat ASAR imaging on Dec.6,2005.The retrieved wind speeds are compared with those from both the NCEP/QSCAT blended sea surface wind speeds and daily averaged Quick Scatter meter sea surface wind speeds.The results gave that they are in good agreement.The root\|mean\|square errors of wind speed are 1.9 m/s and 1.6 m/s respectively,which show that SAR has the ability of retrieving the high resolution sea surface wind speeds,and give the orientation of SAR sea surface wind field business application in future.

Key words:  NCEP/QSCAT      SAR      Sea surface wind speed     
Received:  07 January 2010      Published:  27 January 2011
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ZOU Li-Li, CUI Hai-Shan, LI Ying, WUYu-Jing. Research of Fusion Algorithm based on SAR and SPOT. Remote Sensing Technology and Application, 2010, 25(6): 836-841.

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[1]Li Jun,Lin Zongjian.Data Fusion for Remote Sensing Imagery based on Feature[J].Journal of Image and Graphics,1997,(Z1):103-107.[李军,林宗坚.基于特征的遥感影像数据融合方法[J].中国图像图形学报,1997,(Z1):103-107.]

[2]Zhou J,Civcot D L,Silander J A.A Wavelet Transform Method to Merge Landsat TM and SPOT Panchromatic Data[J].International Journal of Remote Sensing,1998,19(4):743-757.

[3]Liu Tongming.Surface Target Recognition based on Evidence Theory,Fuzzy Inference and Multisensor Information Fution[J].Pattern Recognition and Artificial Intelligence,1999,12(1):25-31.[刘同明.基于证据理论模糊推理的多传感器信息融合海上目标识别[J].模式识别与人工智能,1999,12(1):25-31.]

[4]Jia Yonghong,Li Deren.Comparison of IHS Transformation for Integrating SAR and TM Images[J].Remote Sensing for Land & Resources,1997,32(3):30-34.[贾永红,李德仁.SAR与TM 影像的IHS变换复合及质量定量评价[J].国土资源遥感,1997,32(3):30-34.]

[5]Yang Cunjian,Xu Wangjun,Zhang Zengxiang.Comparison of 〖JP2〗Substituting the Different Principle Component in the Fusion of TM and SAR Image Princile Component Change[J].Remote Sensing for Land & Resources,2001,67(3):31-35.[杨存建,许王君,张增祥.SAR和TM图像主成分变换融合中不同主分量替换的比较[J].国土资源遥感,2001,67(3):31-35.]

[6]Dong Y,Froster B C.Speckle Suppression Using Recursive Wavelet Transform[J].International Journal of Remote Sensing,1998,19(2):317-330.

[7]Zhou J,Civco D L.A Wavelet Transform Method to Merge Landsat TM and SPOT Panchromatic Data[J].International Journal of Remote Sensing,1998,19(4):743-757.

[8]Pohel C,Van Genderen J L.Multisensor Image Fusion in Remote Sensing:Concepts,Methods and Applications[J].International Journal of Remote Sensing,1998,19(5):823-854.

[9]Shi Ruirong,Jing Linjiao.Edge Detection based Adaptive Approach for Interferometric SAR Image Noise Reduction[J].Journal of Remote Sensing,2003,7(3):190-193.[师瑞荣,荆麟角.基于边缘检测的自适应干涉SAR降噪方法[J].遥感学报,2003,7(3):190-193.]

[10]Haydn R.Application of the IHS Color Transformation to the Processing of Multi\|sensor Data and Image Enhancement[C]//International Symposium on Remote Sensing of Arid and Semiarid Lands,Egypt Cairo,1982.

[11]Dubuisson M P,Gupta  A.Color and Texture Fusion:Application to Aerial Image Segmentation and GIS Updating[J].Image and Vision Computing,2000,18,823-832.

[12]Zhang Y.A New Merging Method and Its Spectral and Spatial Effects[J].International Journal of Remote Sensing,2010,(1):2003-2014.

[13]Scheunders P,De Backer S.Multispectral Image Fusion and Merging Using Multi\|spectral Fundamental Forms[C]//IEEE International Conference on Image Processing.Pro.ICIP01,2001.
[14]Wu Lianxi.Theory and Practice of Evaluation on Fusion for Multi\|source Remote Sensing Data[J].Acta Geodaetica et Cartographica Sinica,2003,32(4):365-366.[ 吴连喜.多源遥感数据融合评价的理论与实践[J].测绘学报,2003,32(4):365-366.]

[15]Cheng Yinglei,Zhao Rongchun.An Algorithm for Image Fusion based on Wavelet Packet Transform[J].Journal of Northwestern Poly Technical University,2005,23(4):529-533.[程英蕾,赵荣椿.一种基于小波包变换的SAR图像与TM图像融合方法[J].西北工业大学学报,2005,23(4):529-533.]

[16]Xue Zhenshan,Yang Xiaomei,Su Fenzhen,et al.Application Research of Fused Image of CBERS\|02 and SPOT5 Data in Land Use Monitoring of Coastal Zone[J].Remote Sensing Technology and Application,2009,24(1):97-102.[薛振山,杨晓梅,苏奋振,等.CBERS\|02与SPOT5融合数据及其在海岸带上利用调查中应用能力综合评价[J].遥感技术与应用,2009,24(1):97-102.]

[17]Deng Lei,Li Jing,Nie Juan,et al.A Method Fusing SAR with Multi\|spectral Image and Reducing Speckle Noise[J].Journal of Natural Disasters,2008,17(6):87-90.[邓磊,李京,聂娟,等.抑制斑点噪声的SAR与多光谱图像融合方法[J].自然灾害学报,2008,17(6):87-90.

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