A novel image-fusion method based on the un-mixing of mixed MS sub-pixels regarding high-resolution DSM
文献类型：期刊论文
| 作者 | Li, Hui1; Jing, Linhai1; Sun, Zhongchang1; Li, Junjie1; Xu, Ru1; Tang, Yunwei1; Chen, Fulong1 |
| 刊名 | INTERNATIONAL JOURNAL OF DIGITAL EARTH
 |
| 出版日期 | 2016 |
| 卷号 | 9期号:6页码:606-628 |
| 关键词 | SYNTHETIC-APERTURE RADAR HIGH-GRADIENT STREAMS SUSPENDED SEDIMENT MOUNTAIN RIVERS ALLUVIAL CHANNELS YANGTZE-RIVER STEEP SLOPES UPPER-REGIME PLANE BED DISCHARGE |
| 通讯作者 | Jing, LH (reprint author), Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China. ; Li, JJ (reprint author), China Acad Surveying & Mapping, Beijing, Peoples R China. ; Li, JJ (reprint author), Henan Urban Construct Inst, Pingdingshan, Henan, Peoples R China. |
| 英文摘要 | A major reason for the spectral distortions of fused images generated by current image-fusion methods is that the fused versions of mixed multispectral (MS) sub-pixels (MSPs) corresponding to panchromatic (PAN) pure pixels remain mixed. The MSPs can be un-mixed spectrally to pure pixels having the same land cover classes in a fine classification map during the fusion process. Since it is difficult to produce such a land cover classification map using only MS and PAN images, a Digital Surface Model (DSM) derived from airborne Light Detection And Ranging data were employed in this study to facilitate the classification. In a novel fusion method proposed in this paper, MSPs near and across boundaries between vegetation and non-vegetation are identified using MS, PAN, and normalized Digital Surface Model (nDSM). The identified MSPs then are fused to pure pixels with respect to the corresponding land cover class in the classification map. In a test on WorldView-2 images over an urban area and the corresponding nDSM, the fused image generated by the proposed method was visually and quantitatively compared with fused images obtained using common image-fusion methods. The fused images generated by the proposed method yielded minimal spectral distortions and sharpened boundaries between vegetation and non-vegetation. |
| 学科主题 | Physical Geography; Remote Sensing |
| 类目[WOS] | Geography, Physical ; Remote Sensing |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000382197500004 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39254]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing, Peoples R China 2.China Acad Surveying & Mapping, Beijing, Peoples R China 3.Henan Urban Construct Inst, Pingdingshan, Henan, Peoples R China 4.Chinese Univ Hong Kong, Inst Space & Earth Informat Sci, Hong Kong, Hong Kong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Hui,Jing, Linhai,Sun, Zhongchang,et al. A novel image-fusion method based on the un-mixing of mixed MS sub-pixels regarding high-resolution DSM[J]. INTERNATIONAL JOURNAL OF DIGITAL EARTH,2016,9(6):606-628. |
| APA | Li, Hui.,Jing, Linhai.,Sun, Zhongchang.,Li, Junjie.,Xu, Ru.,...&Chen, Fulong.(2016).A novel image-fusion method based on the un-mixing of mixed MS sub-pixels regarding high-resolution DSM.INTERNATIONAL JOURNAL OF DIGITAL EARTH,9(6),606-628. |
| MLA | Li, Hui,et al."A novel image-fusion method based on the un-mixing of mixed MS sub-pixels regarding high-resolution DSM".INTERNATIONAL JOURNAL OF DIGITAL EARTH 9.6(2016):606-628. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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