期刊文献+

多光谱与高分辨率图像融合方法比较研究 被引量:9

Study on Fusion Algorithm of Multi-spectral Image and High Resolution Image
下载PDF
导出
摘要 通过分析比较HIS变换、Brovey变换、SFIM变换、加权融合四种常用融合方法的原理及其优缺点,提出了使融合后图像光谱扭曲和失真较小,同时保持高分辨率图像的空间纹理细节信息的融合方法应满足的三条规则。并依据此规则,提出了一种基于高通滤波算子的边缘增强型的融合算法,实验结果表明此算法具有很好的空间分辨率,同时又能较好地保持原有多光谱图像的光谱特性,验证了规则的合理性。 HIS transformation. Brovery transform. SFIM transform and weighted fusion are four methods commonly used in fusing high resolution image and muhi-speetral image. Based on the analysis of the principle, advantages and disadvantages of the four methods, this paper proposes three fusion rules to avoid color distortion, and proposes a new fusion method based on edge enhancement through high-pass filtering algorithm according to the rules. Experiment shows that this algorithm presents almost the same color as the original multi-spectral image and enhances the space detail, what validated that the three rules are reasonable.
出处 《遥感信息》 CSCD 2007年第5期56-60,共5页 Remote Sensing Information
关键词 图像融合 融合规则 光谱保持 边缘增强 image fusion fusion rule spectral preservation edge enhancement
  • 相关文献

参考文献15

  • 1Pohl C,VanGendern J L. Multi-sensor image fusion in remote sensing:concepts, methods and applications[J]. Int J Remote Sensing, 1998,19(5):823-854.
  • 2Pohl C,VanGendern J L. Multi-source image fusion in remote sensing:Concepts, methods and application[J].Int J Remote Sensing, 1998,19 (5) :823-854.
  • 3Ginespie A R. Kahle A B,Walker R E. Color enhancement of highly correlated images Dccorrelation and IHS contrast stretches[J]. Remote Sensing of Environment, 1986,20 (2) : 209-235.
  • 4Castleman K R. Digital image processing[M]. Newsy:Prentice Hall Press, 1996.
  • 5贾永红,李德仁,刘继林.四种IHS变换用于SAR与TM影像复合的比较[J].遥感学报,1998,2(2):103-106. 被引量:84
  • 6Zhou 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王建,鲁安新,郭庭天,苗春.Brovey图像融合在引大灌区土地覆盖调查中的应用[J].遥感技术与应用,2001,16(3):173-177. 被引量:25
  • 8孙家柄 舒宁 吴泽群.遥感原理、方法和应用[M].北京:测绘出版社,1997.411.
  • 9陈德超,周海波,陈中原,吴健平.TM与SPOT影像融合算法比较研究[J].遥感技术与应用,2001,16(2):110-115. 被引量:44
  • 10Liu J G. Smoothing filter-based intensity modulation: a spectral preserve image fusion technique for improving spatial details[J].Int. J. Remote Sensing, 2000,20 (18) : 3461- 3472.

二级参考文献21

  • 1杨风暴,韩焱.多探头超声C扫描包覆层粘接图像的融合处理[J].应用基础与工程科学学报,2001,9(2):283-286. 被引量:3
  • 2李旭文,环境遥感,1992年,17卷,4期
  • 3郭华东,雷达图像分析与地质应用,1991年
  • 4团体著者,空间遥感技术综合应用预测及效益分析,1988年
  • 5宋顺林,计算机动画技术,1995年,70页
  • 6Xydaes C, Petrovi V. Objective image fusion performance measure[J].Electronic Letters, 2000, 36(4): 308-309.
  • 7Petrovi V, Xydaes C. On the effects of sensors noise in pixel-lever image fusion performance[A].In: Proc of the 3rd International Conference on Information Fusion[C], 2000, (2): 14-19.
  • 8Roggerman M C, Mills J P, Rogers S K. Multi-sensor Information Fusion for Target Detection and Classification[J]. SPIE, 1998, (931): 8-31.
  • 9Deepu Rajan. Data fusion techniques for super-resolution imaging[J].Information Fusion 2002, (3): 25-38.
  • 10SchistadSolberg A H, Jain A K,Taxt T. Multi-source classification of remote sensed data fusion of Landsat TM and SAR images[J].IEEE transactions on Geoscience and Remote Sensing. 1994, 32(4): 768-778.

共引文献274

同被引文献74

引证文献9

二级引证文献29

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部