遥感数据融合方法分析与评价综述
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摘要
论述了几种常用的基于像元级遥感影像融合方法的原理、特点、作用及限制条件 ,对各种相应的算法进行了分析和评价 ,归纳并阐明了遥感数据融合效果定量评价指标及其意义 ,展望了遥感数据融合方法的发展与应用前景
With the availability of multisensor, multitemporal, multiresolution and multifrequency image data from operational Earth observation satellites, the fusion of digital image has become a valuable tool in remote sensing image evaluation. Data fusion is a process dealing with data and information from multiple sources to achieve improved information for decision making and is the combination of two or more different images to form a new image by using a certain algorithm. Fused images may provide increased interpretation capabilities and more reliable results since data with different characteristics are combined. The images vary in spectral, spatial and temporal resolution and therefore give a more complete view of observed objects. This leads to more accurate data and increased utility. At first, this paper simply reviews the necessity of data fusion's appearance and development. Afterwards, this paper attempts to analyze the method of data fusion, such as Difference and ratio images, Adding and multiplications, Intensity Hue Saturation, High pass filtering, Principal component analysis transforms and Wavelets. Finally, summary and prospect are described. With upcoming improved sensors, the importance of multisensor image fusion and interpretation will increase and open new possibilities of operational applications in Earth observation for the protection and development of the Earth's environment. Also the involvement of expert systems in a GIS can support the integration and evaluation of fused image data.
With the availability of multisensor, multitemporal, multiresolution and multifrequency image data from operational Earth observation satellites, the fusion of digital image has become a valuable tool in remote sensing image evaluation. Data fusion is a process dealing with data and information from multiple sources to achieve improved information for decision making and is the combination of two or more different images to form a new image by using a certain algorithm. Fused images may provide increased interpretation capabilities and more reliable results since data with different characteristics are combined. The images vary in spectral, spatial and temporal resolution and therefore give a more complete view of observed objects. This leads to more accurate data and increased utility. At first, this paper simply reviews the necessity of data fusion's appearance and development. Afterwards, this paper attempts to analyze the method of data fusion, such as Difference and ratio images, Adding and multiplications, Intensity Hue Saturation, High pass filtering, Principal component analysis transforms and Wavelets. Finally, summary and prospect are described. With upcoming improved sensors, the importance of multisensor image fusion and interpretation will increase and open new possibilities of operational applications in Earth observation for the protection and development of the Earth's environment. Also the involvement of expert systems in a GIS can support the integration and evaluation of fused image data.
引文
1 钟志勇,等.多源信息融合中小波变换的应用研究[J].测绘学报,2002(5).
2 王洪华,等.基于多进制小波变换的遥感影像融合[J].测绘学院学报,2001(9).
3 方勇.证据推理应用于多源信息融合分析[J].遥感学报,2000(5).
4 张炳智,张继贤,张丽.土地利用动态遥感监测中多源遥感影像融合方法比较研究[J].测绘科学,2000(3):46-50.
5 JimV .Multi-spectralimagerybandsharpeningstudy[J].PE&RS ,1996,62(9):1075-1083.
6 WJosepgCarper.Theuseofintensity hue saturationtransformationsformergingSPOTpanchromaticandmultispectralimagedata[J].PE&RS ,1990,56(4):459-467.
7 PatSChavez.Comparisonofthreedifferentmethodstomergemultiresolutionandmultispectraldata:LandsatTMandSPOTpanchromatic[J].PE&RS 1991,57(3):259-303.
8 贾永红.遥感多光谱影像空间分解力增强的融合方法[J].遥感技术与应用,1997,12(1):19-23.
9 贾永红,孙家柄.遥感多光谱影像数据与航片数字化影像融合方法的研究[J].测绘通报,1997(5):10-12.
10 Jzhou.AwavelettransformmethodtomergeLandsatTMandSPOTpanchromaticdata[J].INT .J .RemoteSensing1998,19(4):743-757.
11 CPOHLJL .Vangenderenmultisensorimagefusioninremotesensing:Concepts,methodsandapplications[J].1998,19(5):823-854.
12 KVani,SShanmugavel,MMarruthachalam.FusionofIRS -LISSIIIandPANimagesusingdifferentresolutionratios[C].In:PaperPresentedatthe22ndAsianConferenceonRemoteSensing.2001.
13 王智均,李德仁,李清泉.利用小波变换对影像进行融合的研究.武汉测绘科技大学学报,2000,25(2):137-141.
14 哈司巴干,马建文,李启清,等.小波局部高频替代融合方法[J].中国图象图形学报,2002,7(A)(10):1012-1016.
15 李军,周月琴,李德仁.小波变换用于高分辨率全色影像与多光谱影像的融合研究[J].遥感学报,1999,3(2):117-120.
16 RunoGarguetDuport,JackyGirel,JeanMarcChassery,GuyPautou,.TheuseofmultiresolutionganalysisandwaveletstransformformergingSPOTpanchromaticandmultispectralimagedata[J].PE&RS 1996,62(9):1057-1066.
17 王海晖,彭家雄,吴巍.基于小波包变换的遥感图像融合[J].中国图象图形学报,2002,7(A)(9):932-937.
18 倪秀平,肖国超,万志龙.小波变换在SAR与TM图像的HIS变换复合方法的应用[J].1998,15(4):259-261.
19 贾永红,李德仁.多源遥感影像像素级融合分类与决策级分类融合法的研究[J].2001,26(5):430-434.
20 单新建,叶洪,陈国光.数字遥感图像的多源数据融合方法在地质学中的一些应用[J].地质地震,1999,21(4):465-472.
21 OrfinnTaxt,AnneHSchistadSolberg.Informationfusioninremotesensing[J].VistasinAstronomy,1997,41(3):337-342.
22 FSunar,NMusaoglu.MergingmultiresolutionSPOTPandLandsatTMdata:theEffectsandadvantages[J].INT .J.RemoteSensing,1998,19(2):219-224.
23 AvidA .YockymultiresolutionwaveletdecompositionimagemergerofLandsatthematicmapperandSPOTpanchromaticdata[J].PE&RS ,1996,62(9):1067-1074.
24 贾永红,李德仁,孙家柄,等.四种HIS变换用于SAR与TM影像复合的比较[J].遥感学报,1998,5(2):103-106.
25 贾永红.TM和SAR影像主分量变换融合法[J].遥感技术与应用,1998,13(1):46-48.
26 张满郎,郑芬兰.LandsatTM和JERS -1SAR数据在金矿探测中的应用研究[J].环境遥感,1996,11(4):260-266.
27 FranklinSE ,BloggettCF .Anexampleofsatellitemultisensordatafusion[J].Computers&Geosciences,1993,19(4):577-583.
28 章孝灿,黄智才,赵元洪.遥感数字图像处理[M].浙江大学出版社,1997.
29 燕琴,张继贤,孙晓霞.IKONOS数据在土地利用动态监测中的应用方法研究[J].测绘科学,2002,27(2):40-42.
30 张银辉,赵庚星,赵文武.县级耕地遥感动态监测方法研究[J].测绘通报,2002(3):25-27.
2 王洪华,等.基于多进制小波变换的遥感影像融合[J].测绘学院学报,2001(9).
3 方勇.证据推理应用于多源信息融合分析[J].遥感学报,2000(5).
4 张炳智,张继贤,张丽.土地利用动态遥感监测中多源遥感影像融合方法比较研究[J].测绘科学,2000(3):46-50.
5 JimV .Multi-spectralimagerybandsharpeningstudy[J].PE&RS ,1996,62(9):1075-1083.
6 WJosepgCarper.Theuseofintensity hue saturationtransformationsformergingSPOTpanchromaticandmultispectralimagedata[J].PE&RS ,1990,56(4):459-467.
7 PatSChavez.Comparisonofthreedifferentmethodstomergemultiresolutionandmultispectraldata:LandsatTMandSPOTpanchromatic[J].PE&RS 1991,57(3):259-303.
8 贾永红.遥感多光谱影像空间分解力增强的融合方法[J].遥感技术与应用,1997,12(1):19-23.
9 贾永红,孙家柄.遥感多光谱影像数据与航片数字化影像融合方法的研究[J].测绘通报,1997(5):10-12.
10 Jzhou.AwavelettransformmethodtomergeLandsatTMandSPOTpanchromaticdata[J].INT .J .RemoteSensing1998,19(4):743-757.
11 CPOHLJL .Vangenderenmultisensorimagefusioninremotesensing:Concepts,methodsandapplications[J].1998,19(5):823-854.
12 KVani,SShanmugavel,MMarruthachalam.FusionofIRS -LISSIIIandPANimagesusingdifferentresolutionratios[C].In:PaperPresentedatthe22ndAsianConferenceonRemoteSensing.2001.
13 王智均,李德仁,李清泉.利用小波变换对影像进行融合的研究.武汉测绘科技大学学报,2000,25(2):137-141.
14 哈司巴干,马建文,李启清,等.小波局部高频替代融合方法[J].中国图象图形学报,2002,7(A)(10):1012-1016.
15 李军,周月琴,李德仁.小波变换用于高分辨率全色影像与多光谱影像的融合研究[J].遥感学报,1999,3(2):117-120.
16 RunoGarguetDuport,JackyGirel,JeanMarcChassery,GuyPautou,.TheuseofmultiresolutionganalysisandwaveletstransformformergingSPOTpanchromaticandmultispectralimagedata[J].PE&RS 1996,62(9):1057-1066.
17 王海晖,彭家雄,吴巍.基于小波包变换的遥感图像融合[J].中国图象图形学报,2002,7(A)(9):932-937.
18 倪秀平,肖国超,万志龙.小波变换在SAR与TM图像的HIS变换复合方法的应用[J].1998,15(4):259-261.
19 贾永红,李德仁.多源遥感影像像素级融合分类与决策级分类融合法的研究[J].2001,26(5):430-434.
20 单新建,叶洪,陈国光.数字遥感图像的多源数据融合方法在地质学中的一些应用[J].地质地震,1999,21(4):465-472.
21 OrfinnTaxt,AnneHSchistadSolberg.Informationfusioninremotesensing[J].VistasinAstronomy,1997,41(3):337-342.
22 FSunar,NMusaoglu.MergingmultiresolutionSPOTPandLandsatTMdata:theEffectsandadvantages[J].INT .J.RemoteSensing,1998,19(2):219-224.
23 AvidA .YockymultiresolutionwaveletdecompositionimagemergerofLandsatthematicmapperandSPOTpanchromaticdata[J].PE&RS ,1996,62(9):1067-1074.
24 贾永红,李德仁,孙家柄,等.四种HIS变换用于SAR与TM影像复合的比较[J].遥感学报,1998,5(2):103-106.
25 贾永红.TM和SAR影像主分量变换融合法[J].遥感技术与应用,1998,13(1):46-48.
26 张满郎,郑芬兰.LandsatTM和JERS -1SAR数据在金矿探测中的应用研究[J].环境遥感,1996,11(4):260-266.
27 FranklinSE ,BloggettCF .Anexampleofsatellitemultisensordatafusion[J].Computers&Geosciences,1993,19(4):577-583.
28 章孝灿,黄智才,赵元洪.遥感数字图像处理[M].浙江大学出版社,1997.
29 燕琴,张继贤,孙晓霞.IKONOS数据在土地利用动态监测中的应用方法研究[J].测绘科学,2002,27(2):40-42.
30 张银辉,赵庚星,赵文武.县级耕地遥感动态监测方法研究[J].测绘通报,2002(3):25-27.
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