In-Situ Calibration of Relative Reflectance for Visible/Near-Infrared Imaging Spectrometer
文献类型: 外文期刊
作者: Zhang, Dongyan 1 ; Yang, Guijun 1 ; Song, Xiaoyu 1 ; Wang, Zhijie 3 ; Wang, Dacheng 1 ; Zhao, Jinling 1 ; Huang, Linsh 1 ;
作者机构: 1.Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
2.Inst Agr Remote Sensing & Informat Technol Applic, Hangzhou 310029, Zhejiang, Peoples R China
3.Univ Lethbridge, Dept Phys & Astron, Lethbridge, AB T1K 3M4, Canada
关键词: Imaging Spectrometer;Radiance Calibration;Field Calibration;Reference Object
期刊名称:SENSOR LETTERS ( 影响因子:0.558; 五年影响因子:0.58 )
ISSN:
年卷期:
页码:
收录情况: SCI
摘要: Nowadays, the field calibration of the ground-based imaging spectrometer mainly relies on the standard reference panel (white or gray panel). It does not meet specific test requirements when the imaging spectrometer is used for multi-angle and multi-scale trails in the field. To solve this problem, the current study attempts to seek a rapid and stable calibration method of relative reflectance. The visible/near-infrared imaging spectrometer (VNIS) is employed to probe the calibration method. The VNIS is composed of a Hamamatsu C8484-05G camera, a V10E spectrograph, a 1.9/35 mm C-mount zoom lens, and a mirror scanner. The V10E spectrograph has a slit size of 30 μm by 14.3 mm and can collect hyperspectral imagery in the wavelength range of 400-1000 nm with a spectral resolution of 2.8 nm. When VNIS was used to collect digital number values of reference objects (blue cloth, green cloth, gray cloth, black cloth, and gray reference panel) under natural sunlight, the ASD FieldSpec 3portable spectrometer (ASD) was also synchronously utilized. A linear relationship was established through the gathered data of reference objects from VNIS and ASD, and the calculation formula of relative reflectance was proposed according to the reflectance inversion formula after applying the transformative radiation correction formulas. A new field calibration method was presented based on the digital number values. The method can meet the requirements of reflectance inversion of hyperspectral imaging data by comparing the reflectance curves that came from VNIS and ASD.
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