顾及分割效果的QuickBird影像融合方法对比研究

doi:10.6046/gtzyyg.2010.03.05

摘要
参考文献
相关文章
Metrics

全文: PDF(1188 KB)

HTML
输出: BibTeX | EndNote (RIS)

摘要

影像融合是实现高空间分辨率遥感影像中全色数据与多光谱数据优势互补的基本途径，已有的融合方法比较侧重融合图像的视觉效果，较少考虑针对融合影像的分割、分析等后续处理与应用环节。以北京市某地区的QuickBird影像为研究数据，将融合、分割实验研究结果与定量分析相结合，从光谱和几何特征两方面对现有基于像素的主流融合方法IHS、PCA、HPF（高通滤波）、Wavelet-PC（WPC）、Ehlers（ELS）及GS（正交变换）进行对比研究，结果表明，不同融合方法针对同一数据源得到的融合影像在目视效果与定量指标两个方面均存在明显的差异，若顾及后续分割与分析，则以GS融合法的综合效果最佳。

	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

关键词 ：得尔布干地区, 森林沼泽区, 地质解译研究

Abstract：

Image fusion is the essential way to integrate the advantages of panchromatic and multi-spectral data of high spatial resolution remote sensing imagery. The comparative study of the present image fusion methods emphasizes the visual effect of the fused imagery and pays less attention to the processing and application steps such as segmentation and analysis which are subsequent to image segmentation. With QuickBird imagery of a place in Beijing as the test data source, the authors combined the quantitative analysis with the study results of fusion and segmentation experiments and performed a comparative study of such pixel-based main fusion methods as IHS, PCA, HPF, Wavelet-PC, Ehlers and GS in the aspects of spectral and geometric features. It is shown that evident differences exist in terms of visual effects and quantitative indices of fused imagery derived from different fusion methods, and that, of these methods, GS seems to be the best.

Key words： Deerbugan region Forest and marshland area Geological analyse

收稿日期: 2009-10-20 出版日期: 2010-09-20

TP 751

基金资助:

国家重点基础研究发展计划项目子课题“高空间分辨率遥感影像自适应数据挖掘方法研究（编号： 2006CB708306）”及国家自然科学基金项目“基于几何概率和空间邻近性测度的空间聚类研究（编号： 40471113）”共同资助。

通讯作者: 刘建华（1981-），男，博士研究生,曾从事GIS与RS教学工作，目前主要从事空间数据挖掘、遥感图像处理以及GIS与RS集成等方面研究。

引用本文:

刘建华. 顾及分割效果的QuickBird影像融合方法对比研究[J]. 国土资源遥感, 2010, 22(3): 21-25.
LIU Jian-Hua. A Comparative Study of Six Methods for the Fusion of QuickBird Multispectral and Pan Images in Consideration of Segmentation Effect. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(3): 21-25.

链接本文:

https://www.gtzyyg.com/CN/10.6046/gtzyyg.2010.03.05 或 https://www.gtzyyg.com/CN/Y2010/V22/I3/21

［1］周成虎,骆剑承.高分辨率卫星遥感影像地学计算［M］.北京:科学出版社，2009:27-78.

［2］胡钢，刘哲，徐小平，等.像素级图像融合技术的研究进展［J］.计算机应用研究，2008，25(3):650-655.

［3］刘松涛，周晓东.图像融合技术研究的最新进展［J］.激光与红外，2006，36(8):627-631.

［4］Schowengerdt R A. Reconstruction of Multispatial，Multispectral Image Data Using Spatial Frequency Content［J］. Photogrammetric Engineering and Remote Sensing，1980，46(10):1325-1334.

［5］Liu J G. Evaluation of Landsat-7 ETM+ Panchromatic Band for Image Fusion with Multispectral Bands ［J］.Natural Resource Research，2000，9(4):269-276.

［6］Clayton D G. Gram-Schmidt Orthogonalization ［J］. Applied Statistics，1971，20(3):335-338.

［7］Vrabel J，Doraiswamy P，McMurtrey J，et al. Demonstration of the Accuracy of Improved Resolution Hyperspectral Imagery［C］∥Hutchison D， Katz R H. IWSOS， LNCS， Springer，Heidelberg.2007，4725:556-567.

［8］Ehlers M. Spectral Characteristics Preserving Image Fusion Based on Fourier Domain Filtering［C］∥Proc.SPIE，2004，5574:1-13.

［9］Klonus S, Ehlers M.Image Fusion Using the Ehlers Spectral Characteristics Preserving Algorithm ［J］.GIScience & Rem Sens,2007,44:93-116.

［10］Liu J G. Smoothing Filter-based Intensity Modulation:A Spectral Preserve Image Fusion Technique for Improving Spatial Details ［J］. International Journal of Remote Sensing， 2000，21(18):3461-3472.

［11］李存军,刘良云,王纪华,等.两种高保真遥感影像融合方法比较［J］.中国图象图形学报,2004,9(11):1376-1385.

［12］Lee D D，Seung H S. Learning the Parts of Objects by Non-negative Matrix Factorization［J］.Nature，1999，401(6755):788-791.

［13］Lee D D，Seung H S. Algorithms for Non-negative Matrix Factorization ［C］∥Advances in Neural Information Processing Systems.2000:556-562.

［14］Do M N，Vetterli M. The Contourlet Transform:An Efficient Diectional Multiresolution Image Representation［J］.IEEE Trans.Image Processing，2005，14(12):2091-2106.

［15］Miao Qiguang， Wang Baoshu. A Novel Image Fusion Method Using Contourlet Transform［C］∥4th International Conference on Communications，Circuits and Systems，ICCCAS.2006:548-552.

［16］Wang Zhijun，Djemel Z，Costas A，et al. A Comparative Analysis of Image Fusion Methods ［J］. IEEE Transactions on Geoscience and Remote Sensing，2005，43(6):1391-1402.

［17］Pouran B. Comparison Between Four Methods for Data Fusion of ETM+ Multispectral and Pan Images ［J］.Geo-spatial Information Science(Quarterly)，2005，8(2):98-103.

［18］郭雷，李晖晖，鲍永生.图像融合［M］.北京:电子工业出版社，2008:256-259.

[1]	段鹏, 张新生, 王旭东. 内蒙古得尔布干森林沼泽区遥感地质解译研究[J]. 国土资源遥感, 2002, 14(2): 29-33.

Viewed

Full text

Abstract

Cited

Shared

Discussed