城市绿地信息提取中高分辨率卫星影像融合方法研究
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摘要
利用GS变换、主成分分析、Ehlers变换、Wavelet分析、HIS变换5种方法对城区World View-2和PL-1A影像进行融合,并从影像融合质量和绿地信息提取精度两方面对融合方法的有效性进行了评价。结果表明:(1)5种融合方法中,GS变换融合的效果最好;主成分分析和Ehlers变换融合World View-2质量较好,但融合PL-1A影像质量较差;Wavelet变换、HIS变换融合两种影像质量都较差;(2)用于绿地信息提取时,GS、PCA融合影像获取的精度最高,其次为Ehlers、Wavelet融合影像,均明显高于多光谱影像的提取精度;Ehlers、Wavelet变换精度最低,绿地信息提取精度低于多光谱影像的提取精度。可以得出,影像融合可以明显地提高绿地信息提取精度,5种影像融合方法中,GS变换普适性较好,影像融合质量最好,提高分类精度效果最明显。
High remote sensing image has been applied in extracting urban green space information widely,however effectiveness of fusion algorithms need further research. GS,PCA,Ehlers,Wavelet,HIS are applied to merger of urban World View-2 and PL-1A image. Then the effectiveness of fusion algorithms are evaluated according to quality of fusion and accuracy of urban green space information extraction. The results show that GS fusion algorithm achieves the best results. Quality of World View-2 fusion images using PCA and Ehlers fusion algorithms is better than that of PL-1A fusion images applied same algorithms. Wavelet and HIS are worst in five algorithms. Accuracy of urban green space extraction based GS,PCA,Ehlers,and Wavelet fusion images are better than accuracy of multispectral images. In those four fusion algorithms,GS and PCA are best while Ehlers and Wavelet are slightly inferior. From what has been discussed above shows that fusion algorithms can improve the accuracy of green space information extraction obviously. The GS algorithm has best fusion result and good universality in five fusion algorithms.
High remote sensing image has been applied in extracting urban green space information widely,however effectiveness of fusion algorithms need further research. GS,PCA,Ehlers,Wavelet,HIS are applied to merger of urban World View-2 and PL-1A image. Then the effectiveness of fusion algorithms are evaluated according to quality of fusion and accuracy of urban green space information extraction. The results show that GS fusion algorithm achieves the best results. Quality of World View-2 fusion images using PCA and Ehlers fusion algorithms is better than that of PL-1A fusion images applied same algorithms. Wavelet and HIS are worst in five algorithms. Accuracy of urban green space extraction based GS,PCA,Ehlers,and Wavelet fusion images are better than accuracy of multispectral images. In those four fusion algorithms,GS and PCA are best while Ehlers and Wavelet are slightly inferior. From what has been discussed above shows that fusion algorithms can improve the accuracy of green space information extraction obviously. The GS algorithm has best fusion result and good universality in five fusion algorithms.
引文
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[2]郑光,田庆久,李明诗.基于ETM+遥感影像的南京市城市绿地的动态监测[J].遥感信息,2005(5):22-24,44.
[3]陈阳,赵俊三,陈应跃.基于ENVI的高分辨率遥感影像城市绿地信息提取研究[J].测绘工程,2015,24(4):33-36.
[4]王少鹏.基于高分辨率遥感影像的城市绿地信息提取方法研究进展[J].现代农业科技,2013(1):151-153.
[5]费鲜芸,张志国,高祥伟.城市绿地信息提取遥感影像尺度效应分析[J].测绘科学,2009,34(5):136-138.
[6]沙晋明.福州市植被生态环境遥感定量研究[J].测绘学报,2005,34(1):93.
[7]姚静,武文波,康停军.基于TM影像的城市绿地信息提取方法研究[J].测绘科学,2010,35(1):113-115.
[8]陈利,林辉,孙华.基于World View-2影像城市绿地信息提取研究[J].西北林学院学报,2014,29(1):155-160.
[9]罗亚,徐建华,岳文泽,等.植被指数在城市绿地信息提取中的比较研究[J].遥感技术与应用,2006,21(3):212-219.
[10]宋志明,焦道振,胡胜华.基于RS与GIS的广州市城市绿地景观空间分析[J].测绘通报,2010(5):29-31.
[11]王乐,牛雪峰,魏斌,等.遥感影像融合质量评价方法研究[J].测绘通报,2015(2):77-79.
[12]陈慧,王小军.多源遥感影像及处理方法在城市发展普查中应用的对比研究[J].测绘通报,2014(11):60-63,77.
[13]李霖,佘梦媛,罗恒.ZY-3卫星全色与多光谱影像融合方法比较[J].农业工程学报,2014,30(16):157-165.
[14]张海霞,卞正富,陈秋成.ETM+遥感影像融合方法的土地覆盖分类精度的研究[J].安徽农业科学,2008,36(1):62-65.
[15]沈明霞,何瑞银,丛静华.植被信息提取过程中ETM+遥感影像融合和分类试验[J].农业机械学报,2007,38(8):109-112.
[16]赵英时.遥感应用分析原理与方法[M].北京:科学出版社,2003.
[17]CHAVEZ P S.Comparison of Three Different Methods to Merge Multiresolution and Multispectral Data:Landsat TM and SPOT Panchromatic[J].PE&RS,1991,57(3):259-303.
[18]谭永生,沈掌泉,贾春燕,等.Quick Bird全色与多光谱影像融合方法比较研究[J].科技通报,2008,24(4):498-503.
[19]李霖,佘梦媛,罗恒.ZY-3卫星全色与多光谱影像融合方法比较[J].农业工程学报,2014,30(16):157-165,343.