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DOI | 10.1631/jzus.A1000282 |
Multi-spectral remote sensing image enhancement method based on PCA and IHS transformations | |
Lu, Shan-long1,2; Zou, Le-jun1; Shen, Xiao-hua1; Wu, Wen-yuan1; Zhang, Wei3,4 | |
通讯作者 | Zou, Le-jun |
来源期刊 | JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A |
ISSN | 1673-565X |
出版年 | 2011 |
卷号 | 12期号:6页码:453-460 |
英文摘要 | This paper introduces a new enhancement method for multi-spectral satellite remote sensing imagery, based on principal component analysis (PCA) and intensity-hue-saturation (IHS) transformations. The PCA and the IHS transformations are used to separate the spatial information of the multi-spectral image into the first principal component and the intensity component, respectively. The enhanced image is obtained by replacing the intensity component of the IHS transformation with the first principal component of the PCA transformation, and undertaking the inverse IHS transformation. The objective of the proposed method is to make greater use of the spatial and spectral information contained in the original multi-spectral image. On the basis of the visual and statistical analysis results of the experimental study, we can conclude that the proposed method is an ideal new way for multi-spectral image quality enhancement with little color distortion. It has potential advantages in image mapping optimization, object recognition, and weak information sharpening. |
英文关键词 | Remote sensing Principal component analysis (PCA) Intensity-hue-saturation (IHS) transformation Image enhancement Spatial information Spectral information |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
收录类别 | SCI-E |
WOS记录号 | WOS:000291256800005 |
WOS关键词 | WESTERN SLOPE ZONE ; LANDSAT-TM DATA ; SONGLIAO BASIN ; SENSOR DATA ; FUSION ; MULTIRESOLUTION ; QUALITY ; DESERT ; CHINA |
WOS类目 | Engineering, Multidisciplinary ; Physics, Applied |
WOS研究方向 | Engineering ; Physics |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/169528 |
作者单位 | 1.Zhejiang Univ, Dept Earth Sci, Hangzhou 310027, Zhejiang, Peoples R China; 2.Chinese Acad Sci, Inst Remote Sensing Applicat, Beijing 100101, Peoples R China; 3.China Aero Geophys Survey, Beijing 100083, Peoples R China; 4.Remote Sensing Ctr Land & Resources, Beijing 100083, Peoples R China |
推荐引用方式 GB/T 7714 | Lu, Shan-long,Zou, Le-jun,Shen, Xiao-hua,et al. Multi-spectral remote sensing image enhancement method based on PCA and IHS transformations[J],2011,12(6):453-460. |
APA | Lu, Shan-long,Zou, Le-jun,Shen, Xiao-hua,Wu, Wen-yuan,&Zhang, Wei.(2011).Multi-spectral remote sensing image enhancement method based on PCA and IHS transformations.JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A,12(6),453-460. |
MLA | Lu, Shan-long,et al."Multi-spectral remote sensing image enhancement method based on PCA and IHS transformations".JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A 12.6(2011):453-460. |
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