Assessing Optimal Image Fusion Methods for Very High Spatial Resolution Satellite Images to Support Coastal Monitoring

被引:21
作者
Yang, Byungyun [1 ,3 ]
Kim, Minho [2 ,4 ]
Madden, Marguerite [3 ]
机构
[1] Univ S Florida, Dept Geog Environm & Planning, Tampa, FL 33620 USA
[2] Sangmyung Univ, Dept Geog, Seoul 110743, South Korea
[3] Univ Georgia, Dept Geog, Ctr Remote Sensing & Mapping Sci CRMS, Athens, GA 30602 USA
[4] Ctr Dis Control & Prevent, Div Populat Hlth, Atlanta, GA USA
关键词
TRANSFORM METHOD; LANDSAT TM; IHS; QUALITY;
D O I
10.2747/1548-1603.49.5.687
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
This study examines best image fusion approaches for generating pansharpened very high resolution (VHR) multispectral images to be utilized for monitoring coastal barrier island development. Selected fusion techniques assessed in this research come from the three categories of spectral substitution (e.g., Brovey transform and multiplicative merging), arithmetic merging (e.g., modified intensity-hue-saturation and principal component analysis), and spatial domain (e.g., high-pass filter, and subtractive resolution merge). The image fusion methods selected for this study were capable of producing pansharpened VHR images with more than three bands. Comparisons of fusion techniques were applied to images from three satellite sensors: United States commercial satellites IKONOS and QuickBird, and the Korean KOMPSAT II. Pansharpened VHR multispectral images were assessed by spectral and spatial quality measurements. Results satisfying both spectral and spatial quality revealed optimum pansharpened techniques necessary for regular coastal mapping of barrier islands. These techniques may also be used to assess the quality of recently available VHR imagery acquired by numerous international, government, and commercial VHR satellite programs.
引用
收藏
页码:687 / 710
页数:24
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