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| 低山丘陵区可见光谱的分形特征 | |
| 引用本文： | Zhang FS,Liu ZX,Wan HL,Liu M. 低山丘陵区可见光谱的分形特征[J]. 光谱学与光谱分析, 2011, 31(2): 473-477. DOI: 10.3964/j.issn.1000-0593(2011)02-0473-05 |
| 作者姓名： | Zhang FS Liu ZX Wan HL Liu M |
| 作者单位： | 1. 中国科学院沈阳应用生态研究所,辽宁省节水农业重点实验室,辽宁,沈阳,110016;中国科学院研究生院,北京,100049 2. 中国科学院沈阳应用生态研究所,辽宁省节水农业重点实验室,辽宁,沈阳,110016 3. 中国科学院北京基因组研究所,基因组科学及信息重点实验室,北京,100029;中国科学院研究生院,北京,100049 |
| 基金项目： | 国家科技支撑计划项目(2008BADA4B06); 国家自然科学基金项目(40801069); 中国科学院陆地生态过程重点实验室开放课题资助 |
| 摘 要： | 遥感影像记录的反射光谱特征主要来源于异质反射地物的光谱综合作用,了解其空间分布特征有助于影像解译和遥感模型的建立.该文以低山丘陵区10月底多光谱TM遥感影像为研究对象,采用统计学和多重分形相结合的手段分析其空间变异性.结果表明,研究区可见光谱(0.45～0.69μm)亮度值(digital number,DN)空间分布... |
| 关 键 词： | 亮度值 尺度不变性 多重分形 空间异质性 |
Fractal characteristics of visible spectra across a hilly area |
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| Zhang Fa-Sheng,Liu Zuo-Xin,Wan Hao-Lei,Liu Miao. Fractal characteristics of visible spectra across a hilly area[J]. Spectroscopy and Spectral Analysis, 2011, 31(2): 473-477. DOI: 10.3964/j.issn.1000-0593(2011)02-0473-05 | |
| Authors: | Zhang Fa-Sheng Liu Zuo-Xin Wan Hao-Lei Liu Miao |
| Affiliation: | ZHANG Fa-sheng1,3,LIU Zuo-xin1,WAN Hao-lei2,LIU Miao1 1.Institute of Applied Ecology,Chinese Academy of Sciences,Key Laboratory of Liaoning Water-Saving Agriculture,Shenyang 110016,China 2.Beijing Institute of Genomics,Key Laboratory of Genome Sciences and Information,Beijing 100029,China 3.Graduate University of Chinese Academy of Sciences,Beijing 100049,China |
| Abstract: | The spectral characteristic of remotely sensed image is mainly the results of integrative effects on spectrum from heterogeneous ground reflectors.Investigating its spatial distribution characteristics may be helpful for image interpreting and modeling based on remote sensing technique.In the present study,spatial heterogeneity of remotely sensed multispectral TM image across a hilly area in late October was studied by the combination of statistical method and multifractal analysis.The results showed that d... |
| Keywords: | Digital number Scale-invariance Multifractal analysis Spatial heterogeneity |
| 本文献已被 CNKI 万方数据 PubMed 等数据库收录！ | |