Effects of spectral transformations in statistical modeling of leaf biochemical concentrations
文献类型:会议论文
| 作者 | Shi R. H. ; Zhuang D. F. ; Niu Z. ; Ieee |
| 出版日期 | 2004 |
| 关键词 | spectral transformation C/N hyperspectral data near-infrared reflectance nitrogen concentration prospect |
| 页码 | 263-267 |
| 英文摘要 | The prediction of leaf biochemical concentrations with hyperspectral data is one of latest research directions in hyperspectral remote sensing. Statistical modeling being a convenient and common-used method, spectral transformations are always performed as its preprocess. We discussed several usual transformations including full-band based transformations such as reciprocal, logarithm, and derivative spectra, and one-absorption-feature based transformation: continuum removal. The effects of those transformations on the prediction of C/N were compared using correlation analyses and stepwise regressions. Results show that the effect of continuum removal is the best, which is physically based and not site-specific at all. |
| 收录类别 | CPCI |
| 会议录出版者 | Ieee |
| 语种 | 英语 |
| ISBN号 | 0-7803-8350-8 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/25259] ![]() |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Shi R. H.,Zhuang D. F.,Niu Z.,et al. Effects of spectral transformations in statistical modeling of leaf biochemical concentrations[C]. 见:. |
入库方式: OAI收割
来源:地理科学与资源研究所
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