航天返回与遥感
航天返迴與遙感
항천반회여요감
Spacecraft Recovery & Remote Sensing
2015年
5期
83-95
,共13页
比值融合法%高通调制滤波法%色彩变换法%梯度金字塔%遥感影像融合%“资源一号”02C 卫星
比值融閤法%高通調製濾波法%色綵變換法%梯度金字塔%遙感影像融閤%“資源一號”02C 衛星
비치융합법%고통조제려파법%색채변환법%제도금자탑%요감영상융합%“자원일호”02C 위성
Brovey%high pass modulation%intensity hue and saturation%gradient pyramid%remote sensing image fusion%ZY-1-02C
遥感影像融合方法可以分为空间域、分量替换、多尺度分析三类。文章从空间域方法中选择 Brovey 比值法和高通调制滤波法,从分量替换方法中选择色彩变换法,从多尺度分析方法中选择梯度金字塔法,使用这四种常用的融合方法对“资源一号”02C 卫星全色/多光谱相机(panchromatic and multispectral sensor,PMS)数据进行了融合处理试验,并从主观评价和定量分析两个方面对融合效果进行了综合评价。结果表明:与 PMS 数据中的全色高分辨率影像相比,四种方法均可以增加融合后影像的光谱信息;与 PMS 数据中的多光谱低分辨率影像相比,四种方法均可以增加融合后影像中的空间细节信息。其中,梯度金字塔法在亮度信息、信息量和清晰度方面明显优于其它三种方法,但是较多地丢失了PMS 数据中多光谱图像的光谱信息,光谱保持能力较差。色彩变换法可以很好地保持 PMS 数据多光谱影像的光谱信息,光谱扭曲度较小,但是亮度信息和清晰度表现能力一般。
遙感影像融閤方法可以分為空間域、分量替換、多呎度分析三類。文章從空間域方法中選擇 Brovey 比值法和高通調製濾波法,從分量替換方法中選擇色綵變換法,從多呎度分析方法中選擇梯度金字塔法,使用這四種常用的融閤方法對“資源一號”02C 衛星全色/多光譜相機(panchromatic and multispectral sensor,PMS)數據進行瞭融閤處理試驗,併從主觀評價和定量分析兩箇方麵對融閤效果進行瞭綜閤評價。結果錶明:與 PMS 數據中的全色高分辨率影像相比,四種方法均可以增加融閤後影像的光譜信息;與 PMS 數據中的多光譜低分辨率影像相比,四種方法均可以增加融閤後影像中的空間細節信息。其中,梯度金字塔法在亮度信息、信息量和清晰度方麵明顯優于其它三種方法,但是較多地丟失瞭PMS 數據中多光譜圖像的光譜信息,光譜保持能力較差。色綵變換法可以很好地保持 PMS 數據多光譜影像的光譜信息,光譜扭麯度較小,但是亮度信息和清晰度錶現能力一般。
요감영상융합방법가이분위공간역、분량체환、다척도분석삼류。문장종공간역방법중선택 Brovey 비치법화고통조제려파법,종분량체환방법중선택색채변환법,종다척도분석방법중선택제도금자탑법,사용저사충상용적융합방법대“자원일호”02C 위성전색/다광보상궤(panchromatic and multispectral sensor,PMS)수거진행료융합처리시험,병종주관평개화정량분석량개방면대융합효과진행료종합평개。결과표명:여 PMS 수거중적전색고분변솔영상상비,사충방법균가이증가융합후영상적광보신식;여 PMS 수거중적다광보저분변솔영상상비,사충방법균가이증가융합후영상중적공간세절신식。기중,제도금자탑법재량도신식、신식량화청석도방면명현우우기타삼충방법,단시교다지주실료PMS 수거중다광보도상적광보신식,광보보지능력교차。색채변환법가이흔호지보지 PMS 수거다광보영상적광보신식,광보뉴곡도교소,단시량도신식화청석도표현능력일반。
Remote sensing imagery fusion can be divided into three categories, including space domain processing, component substitution and multi-scale analysis. Four popular remote sensing image fusion methods, such as Brovey, HPM, HIS and gradient pyramid, are used to composite the panchromatic image and multispectral image of ZY-1-02C satellite PMS data in this paper. Their fusion images have also been evaluated and analyzed by subjective analysis and quantitative analysis individually. The test result shows that these methods can enhance space information of fusion image compared to the multispectral image, and spectral information of fusion image compared to the panchromatic image. The gradient pyramid is better than the other three methods in the brightness, information and clearness. However, it loses much spectral information. On the contrary, IHS can well reserve the spectral information and its spectral distortion is least. But it can not perform well in the brightness and clearness. Therefore, the best fusion image of PMS data can be obtained and owns both more space information and spectral information if the IHS and gradient pyramid can be combined.