• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Refinement of wavelength calibrations of hyperspectral imaging data using a spectrum-matching technique
【24h】

Refinement of wavelength calibrations of hyperspectral imaging data using a spectrum-matching technique

机译：使用光谱匹配技术细化高光谱成像数据的波长校准

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The concept of imaging spectrometry, or hyperspectral imaging, is becoming increasingly popular in scientific communities in recent years. Hyperspectral imaging data covering the spectral region between 0.4 and 2.5μm and collected from aircraft and satellite platforms have been used in the study of the earth's atmosphere, land surface, and ocean color properties, as well as on planetary missions. In order to make such quantitative studies, accurate radiometric and spectral calibrations of hyperspectral imaging data are necessary. Calibration coefficients for all detectors in an imaging spectrometer obtained in a laboratory may need to be adjusted when applied to data obtained from an aircraft or a satellite platform. Shifts in channel center wavelengths and changes in spectral resolution may occur when an instrument is airborne or spaceborne due to vibrations, and to changes in instrument temperature and pressure. In this paper, we describe an algorithm for refining spectral calibrations of imaging spectrometer data using observed features in the data itself. The algorithm is based on spectrum-matching of atmospheric water vapor, oxygen, and carbon dioxide bands, and solar Fraunhofer lines. It has been applied to real data sets acquired with airborne and spaceborne imaging spectrometers.
机译：近年来，成像光谱或高光谱成像的概念在科学界变得越来越流行。从飞机和卫星平台收集的，覆盖0.4至2.5μm光谱区域的高光谱成像数据已用于研究地球大气，陆地表面和海洋的颜色特性，以及用于行星飞行任务。为了进行这样的定量研究，必须对高光谱成像数据进行精确的辐射和光谱校准。当应用于从飞机或卫星平台获得的数据时，可能需要调整实验室获得的成像光谱仪中所有检测器的校准系数。当仪器由于振动以及仪器温度和压力的变化而在空中或空间传播时，可能会发生通道中心波长的变化和光谱分辨率的变化。在本文中，我们描述了一种使用数据本身中观察到的特征来细化成像光谱仪数据的光谱校准的算法。该算法基于大气水蒸气，氧气和二氧化碳带以及太阳Fraunhofer谱线的光谱匹配。它已应用于通过机载和星载成像光谱仪获取的真实数据集。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号