论文部分内容阅读
地物光谱特性是遥感应用的基础。本文以渭干河-库车河三角洲绿洲为研究区,首先选取裸土、植被两类地物作为研究对象,通过TM传感器的光谱响应函数,实现了将野外实测端元光谱拟合为多光谱离散光谱。其次在对TM图像的光谱波段进行细分的基础上,利用光谱知识库的数据支持来模拟获取具有更高光谱分辨率的细分光谱光学遥感图像,深入开展两种尺度相互转换的研究。结果表明:一、拟和的多光谱与TM像元光谱具有很好的相关性,在此基础上,采用线性算法建立端元光谱与遥感图像像元光谱的转换模型,实现了从实测端元光谱尺度向遥感多光谱像元尺度的定量光谱转换,为遥感定量分析奠定了一定基础。二、细分光谱模拟图像的方法能够较为可靠的模拟出真实高光谱分辨率图像的信息,模拟方法可信,达到了推广和验证的效果。
The spectral characteristics of terrain are the basis of remote sensing applications. In this paper, Weigan-Kuqa River delta oasis as the research area, the first choice of bare soil and vegetation two types of objects as the research object, through the TM sensor spectral response function, the field measured end-point spectrum fitting to multi-spectral Discrete spectrum. Secondly, on the basis of subdividing the spectral bands of TM images, we use the data support of spectral knowledge base to simulate the subdivision spectral optical remote sensing images with higher spectral resolution, and deeply study the mutual conversion between two scales. The results show that: (1) There is a good correlation between the multi-spectrum and the TM pixel spectrum. Based on this, the linear algorithm is used to establish the conversion model between the end-element spectrum and the remote sensing image pixel spectrum, Quantitative spectral conversion from spectral scale to remote sensing multispectral pixel-scale has laid a solid foundation for remote sensing quantitative analysis. Second, the method of subdividing spectral simulated images can more reliably simulate the information of true hyperspectral images, and the simulation method is credible and has achieved the effect of popularization and verification.