Wavelength selection and spectral discrimination for paddy rice, with laboratory measurements of hyperspectral leaf reflectance
文献类型：期刊论文
| 作者 | Song, Shalei1; Gong, Wei2; Zhu, Bo2; Huang, Xin2 |
| 刊名 | ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
 |
| 出版日期 | 2011-09-01 |
| 卷号 | 66期号:5页码:672-682 |
| 关键词 | Hyperspectral data Wavelength selection Spectral discrimination Rice |
| 产权排序 | 第一 |
| 英文摘要 | The objective of this research is to select the most sensitive wavelengths for the discrimination of the imperceptible spectral variations of paddy rice under different cultivation conditions. The paddy rice was cultivated under four different nitrogen cultivation levels and three water irrigation levels. There are 2151 hyperspectral wavelengths available, both in hyperspectral reflectance and energy space transformed spectral data. Based on these two data sets, the principal component analysis (PCA) and band-band correlation methods were used to select significant wavelengths with no reference to leaf biochemical properties, while the partial least squares (PLS) method assessed the contribution of each narrow band to leaf biochemical content associated with each loading weight across the nitrogen and water stresses. Moreover, several significant narrow bands and other broad bands were selected to establish eight kinds of wavelength (broad-band) combinations, focusing on comparing the performance of the narrow-band combinations instead of broad-band combinations for rice supervising applications. Finally, to investigate the capability of the selected wavelengths to diagnose the stress conditions across the different cultivation levels, four selected narrow bands (552, 675, 705 and 776 nm) were calculated and compared between nitrogen-stressed and non-stressed rice leaves using linear discriminant analysis (LDA). Also, wavelengths of 1158, 1378 and 1965 nm were identified as the most useful bands to diagnose the stress condition across three irrigation levels. Results indicated that good discrimination was achieved. Overall, the narrow bands based on hyperspectral reflectance data appear to have great potential for discriminating rice of differing cultivation conditions and for detecting stress in rice vegetation; these selected wavelengths also have great potential use for the designing of future sensors. (C) 2011 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved. |
| WOS标题词 | Science & Technology ; Physical Sciences ; Technology |
| 学科主题 | 原子分子物理学 |
| 类目[WOS] | Geography, Physical ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
| 研究领域[WOS] | Physical Geography ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 关键词[WOS] | VEGETATION INDEXES ; CHLOROPHYLL CONTENT ; OPTICAL-PROPERTIES ; MODELING APPROACH ; NARROW-BAND ; BROAD-BAND ; RED EDGE ; CANOPY ; NITROGEN ; SPECTROMETRY |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000295653300012 |
| 源URL | [http://ir.wipm.ac.cn/handle/112942/1912]  |
| 专题 | 武汉物理与数学研究所_2011年以前论文发表（包括2011年） |
| 作者单位 | 1.Chinese Acad Sci, State Key Lab Magnet Resonance & Atom & Mol Phys, Wuhan Inst Phys & Math, Wuhan 430071, Hubei, Peoples R China 2.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Hubei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Song, Shalei,Gong, Wei,Zhu, Bo,et al. Wavelength selection and spectral discrimination for paddy rice, with laboratory measurements of hyperspectral leaf reflectance[J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2011,66(5):672-682. |
| APA | Song, Shalei,Gong, Wei,Zhu, Bo,&Huang, Xin.(2011).Wavelength selection and spectral discrimination for paddy rice, with laboratory measurements of hyperspectral leaf reflectance.ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,66(5),672-682. |
| MLA | Song, Shalei,et al."Wavelength selection and spectral discrimination for paddy rice, with laboratory measurements of hyperspectral leaf reflectance".ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING 66.5(2011):672-682. |
入库方式： OAI收割
来源：武汉物理与数学研究所
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