Please wait a minute...
img

官方微信

遥感技术与应用  2010, Vol. 25 Issue (6): 836-841    DOI: 10.11873/j.issn.1004-0323.2010.6.836
图像处理     
SAR与SPOT数据融合方法研究
邹丽丽,崔海山,李颖,吴宇静
(广州大学地理科学学院,广东 广州510006)
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)
 全文: PDF(2432 KB)  
摘要:

随着多空间分辨率、多光谱分辨率、多传感器遥感数据日益增多,数据融合技术已经在地学领域得到广泛应用。以SAR和SPOT多光谱影像为数据源,通过几何校正、辐射定标、噪声去除等预处理,采用PCA、IHS、BT、HPF以及WT融合方法进行融合试验,选取标准差、信息熵以及相关系数对融合结果进行图像质量评价。结果表明:基于结构信息变换的HPF和WT方法,纹理结构信息保持较好,线性地物特征尤为突出;基于统计信息变换的PCA方法,不仅能较好保持多光谱信息,而且也保持了SAR影像纹理结构信息,信息熵指数最大;基于彩色变换的IHS和BT方法,虽然视觉效果较理想,但是色彩及光谱失真现象严重,信息熵值最小。

关键词: 数据融合影像评价SARSPOT    
Abstract:

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
收稿日期: 2010-01-07 出版日期: 2011-01-27
:  TP 75  
基金资助:

国家自然科学基金项目(30970482)资助。

通讯作者: 崔海山(1969-),男,副教授,主要从事环境遥感研究工作。Email:cuihaishan@126.com。      E-mail: 905500528@qq.com
作者简介: 邹丽丽(1983-),女,硕士研究生,主要从事土地资源遥感监测研究。Email:905500528@qq.com。
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
邹丽丽
崔海山
李颖
吴宇静

引用本文:

邹丽丽, 崔海山, 李颖, 吴宇静. SAR与SPOT数据融合方法研究[J]. 遥感技术与应用, 2010, 25(6): 836-841.

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.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2010.6.836        http://www.rsta.ac.cn/CN/Y2010/V25/I6/836

[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.

[1] 李姣姣,刘玉,陈锟山. 基于香农熵的极化SAR相干矩阵信息量评价#br#[J]. 遥感技术与应用, 2018, 33(5): 842-849.
[2] 张晓峰,吕晓琪,张信雪,张继凯,王月明,谷宇,樊宇. 多时刻海色遥感数据融合及其可视化[J]. 遥感技术与应用, 2018, 33(5): 873-880.
[3] 王常颖,田德政,韩园峰,隋毅,初佳兰. 基于属性差决策树的全极化SAR影像海冰分类[J]. 遥感技术与应用, 2018, 33(5): 975-982.
[4] 郭欣,赵银娣. 基于Sentinel-1A SAR的湖南省宁乡市洪水监测[J]. 遥感技术与应用, 2018, 33(4): 646-656.
[5] 张程,张红,王超. 基于PCDM香农熵的全极化SAR图像船舶目标检测方法[J]. 遥感技术与应用, 2018, 33(3): 499-507.
[6] 胡瑞,肖鹏峰,冯学智,张学良. 玛纳斯河流域积雪区GF-1卫星图像辐射质量比较[J]. 遥感技术与应用, 2018, 33(1): 47-54.
[7] 刘建歌,慕德俊. 基于SAR影像海冰动态特征的提取方法[J]. 遥感技术与应用, 2018, 33(1): 55-60.
[8] 张王菲,陈尔学,李增元,赵磊,姬永杰. 干涉、极化干涉SAR技术森林高度估测算法研究进展[J]. 遥感技术与应用, 2017, 32(6): 983-997.
[9] 周晓宇,陈富龙. 四川大熊猫栖息地PALSAR时序数据森林覆盖动态监测研究[J]. 遥感技术与应用, 2017, 32(6): 1100-1106.
[10] 扎西央宗,李林,卓玛,冯岩,李学东,白玛央宗. 西藏年楚河流域冰川变化监测方法研究[J]. 遥感技术与应用, 2017, 32(6): 1126-1131.
[11] 姜爱辉,刘国林,陈富龙. 基于PALSAR-1影像的汉函谷关遗迹变化检测研究[J]. 遥感技术与应用, 2017, 32(5): 787-793.
[12] 尤江彬,陈富龙. 西域都护府/且末古城数字地望考与长波段雷达次地表考古初探[J]. 遥感技术与应用, 2017, 32(5): 794-800.
[13] 张宝华,周文涛,吕晓琪. 基于稀疏分解和改进MRF模型的SAR海冰图像分割方法[J]. 遥感技术与应用, 2017, 32(4): 709-713.
[14] 王苏芸,孙中昶,郭华东,申维. 基于面向对象的东营市城乡建设用地信息提取[J]. 遥感技术与应用, 2017, 32(4): 780-786.
[15] 孙亚勇,黄诗峰,李纪人,李小涛,马建威,曲伟. Sentinel-1A SAR数据在缅甸伊洛瓦底江下游区洪水监测中的应用[J]. 遥感技术与应用, 2017, 32(2): 282-288.