MA Shi-bin,AN Yu-lun,ZHANG Yue-hong.Study on Image Fusion for CBERS-02B HR Image[J].Research of Soil and Water Conservation,2012,19(04):229-233.
CBERS-02B星HR高分辨率遥感数据融合研究分析
- Title:
- Study on Image Fusion for CBERS-02B HR Image
- Keywords:
- CBERS-02B; image fusion; HR; SPOT-5
- 分类号:
- TP751
- 摘要:
- 在阐述遥感影像融合原理的基础上，以贵州省贵阳市部分区域为研究区，应用PCA，Brovey，SVR，IHS共4种融合方法对CBERS-02B星HR数据与CCD数据进行融合实验。从光谱信息和空间信息两个方面对融合效果进行分析，对比4种融合方法对CBERS-02B星影像数据的适用程度，同时与SPOT-5融合数据进行对比分析。研究表明：（1）4种融合方法中，SVR变换法最适合CBERS-02B星遥感数据的融合，融合数据的各评价指标均高于其他融合方法，空间信息丰富，图像细节效果良好；（2）CBERS-02B星同源遥感数据融合影像的质量低于SPOT-5影像融合数据；（3）CBERS-02B星CCD数据的质量低是导致融合影像质量不高的主要原因，所以在CBERS-02B星HR数据的使用过程中应尽量寻求其他来源的多光谱数据进行融合。
- Abstract:
- Based on principles of the RS image fusion, the HR data and CCD data of CBERS-02B were fused with the four image fusion methods: PCA, Brovey, SVR and IHS in the study area of part region of Guiyang in Guizhou Province. Based on the spectral information and spatial resolution perspective, the fusion results were analyzed, the adaptability of all the fusion methods for the CBERS-02B image fusion were studied and were compared and analyzed with the fused SPOT-5 data. The study results showed that: (1) among the four fusion methods, SVR was the most suitable for the CBERS-02B image fusion, the evaluation indices for fused data were higher than those of other fusion methods; it contained much more information and the detailed information showed better; (2) the image fusion quality of the congenetic CBERS-02B RS data was lower than that of the fused SPOT-5 data; (3) the low quality of CBERS-02B CCD image was the main cause of the poor fusion image, therefore, when the CBERS-02B HR data was used, the spectral data of other satellites should be sought to fuse.
参考文献/References:
[1] 贾永红,孙家柄.多源遥感影像数据融合[J].遥感技术与应用,2000,15(1):41-42.
[2] Harris J R.HIS transform for the integration of radar imagery with other remotely sensed data[J].PE&RS,1990,36(2):1631-1641.
[3] Ehlers M.Multisensor image fusion techniques in remote sensing[J].ISPRS Journal of Phtogrammetry and Remote Sensing,1991,46(1):9-30.
[4] Zhou J.A Wavelet Transform Method to Merge Landsat ETM+ and SPOT Panchromatic Data[J].Int J.Remote Sensing,1998,19(4):743-757.
[5] Zhang Zhong.Categorization of multiscale-decomposition-based Image Fusion Schemes with a performance study for a digital camera application [J].Proceeding of the IEEE,1999,87(8):1315-1326.
[6] Zhang Yun.A New Automatic Approach for Effectively Fusing Landsat 7 as well as IKONOS Images[C].IEEE/IGARSS’02.Toronto,Canada,2002.
[7] 甄静,何国金.高分辨率遥感影像融合存在的问题及改进措施[J].遥感信息,2005(5):45-48.
[8] 孙丹峰.IKONOS全色与多光谱数据融合方法的比较研究[J].遥感技术与应用,2002,17(1):41-45.
[9] 许榕峰,徐涵秋.ETM+全色波段及其多光谱波段图像的融合研究[J].地球信息科学,2004,6(1):99-102.
[10] Zhang Y.A new merging method and its spectral and spatial effects[J].Int.J.Remote Sensing,1999,20(10):2003-2014.
[11] 谭永生,沈掌泉,贾春燕,等.中高分辨率遥感影像融合研究[J].遥感技术与用,2007,22(4):536-542.
[12] 覃征,鲍复民.数字图像融合[M].西安:西安交通大学出版社,2004.
[13] 刘廷祥,黄丽梅,鲍文东.基于CBERS-02B和SPOT-5全色波段的图像融合纹理信息评价研究[J].遥感技术与应用,2009,24(1):103-108.
[14] 王海晖,彭嘉雄,吴巍,等.多源遥感图像融合效果评价方法研究[J].计算机工程与应用,2003(25):33-37.
[15] 王奇,李杏朝,李俊杰,等.CBERS-02B星HR与CCD影像融合研究[J].遥感技术与用,2008,23(4):468-471.
[16] 朱述龙,朱宝山,王红卫.遥感图像处理与应用[M].北京:科学出版社,2006:42-44.
备注/Memo
收稿日期:2012-2-17;修回日期:2012-3-7
基金项目:国家重点基础研究发展973计划项目（2006CB403200）；贵州省科技支撑项目（黔科合GY字20083022）；贵州省教育厅自然科学项目（黔教科2010098）；贵州省科学技术基金项目（黔科合J字[2011]2052）；六盘水师范学院科研计划项目（lpssy201110）
作者简介:马士彬（1982- ），男，黑龙江齐齐哈尔人，讲师，硕士，研究方向：环境遥感与信息系统应用。E-mail：msb88.com@163.com。
通讯作者:安裕伦（1957- ），男，贵州贵阳人，教授，硕士生导师，研究方向：遥感与地理信息系统应用。E-mail：anyulun@126.com。