选择北京密云水库及周边地区为实验区,在分析多源数据融合层次和各种融合方法的基础上,针对TM与SPOT5数据运用IHS变换融合法、小波变换融合法以及IHS小波变换融合法分别进行融合实验。在小波变换以及IHS小波变换融合法中,分别采用了二维连续与离散的小波变换方式,研究了小波变换层数以及低频与高频分量系数的选择结果对于融合效果的影响。最后运用主观定性以及客观定量评价方法,经对不同指标的权重计分建立详细的等级评定,对融合结果进行评判。结果表明:在所选小波方法中,二维连续2层小波效果较好,而IHS结合二维连续2层小波方法效果较为突出。
Abstract
IHS transform can retain the complete information of high spatial resolution, and the wavelet transform fusion imaging has the better spectral information, therefore, the combination of the two transform image fusion can take advantage of their respective strengths to provide high-quality images for the subsequent information extraction. Based on the analyses of multi-sources data fusion methods at different levels, Beijing Miyun Reservoir and its surroundings were selected as the study area in this research. The data fusion methods including IHS transform, wavelet transform and integrated wavelet-IHS transform were firstly used to experiment with Landsat TM multispectral image and SPOT5 panchromatic image. Furthermore, in the fusion methods of wavelet transform and IHS wavelet transform, the two-dimensional continuous and discrete wavelet transform were used respectively, and the effects of the wavelet transformation layer numbers as well as the selection of the low-frequency coefficients and the high-frequency coefficients on the resulting fused images were discussed. Finally, the fusion results were evaluated by using subjectively qualitative method and objectively quantitative indices, after establishing elaborated ratings to each weight of the index. The results showed that the two-dimensional continuous wavelet method with two layers had better comprehensive effects among the three methods of wavelet, while IHS transform fusion method combined with the two-dimensional continuous wavelet method with two layers could maintain better spectral and spatial resolution, which mean the image quality could be improved significantly by fusing the data of Landsat TM and SPOT5 by using wavelet transform integrated with IHS, providing data security for image classification,information extraction and vegetation monitoring based on the remote sensing technique.
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基金
收稿日期:2014-03-28 修回日期:2015-03-22
基金项目:省部共建森林培育与保护教育部重点实验室资助项目(2009GJSYS02); 教育部高等学校博士学科点专项科研基金资助课题(20100014110002)
第一作者:白金婷,硕士生。*通信作者:张晓丽,教授。E-mail: zhang-xl@263.net。
引文格式:白金婷,张晓丽,王书涵,等. TM与SPOT5影像HIS小波融合方法及应用分析[J]. 南京林业大学学报:自然科学版,2015,39(3):18-24.
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