首页> 外文期刊>Canadian Journal of Remote Sensing >Validation of Airborne Hyperspectral Imagery from Laboratory Panel Characterization to Image Quality Assessment: Implications for an Arctic Peatland Surrogate Simulation Site
【24h】

Validation of Airborne Hyperspectral Imagery from Laboratory Panel Characterization to Image Quality Assessment: Implications for an Arctic Peatland Surrogate Simulation Site

机译:从实验室面板表征到图像质量评估的机载高光谱图像的验证:对北极泥炭地替代模拟站点的启示

获取原文
获取原文并翻译 | 示例
       

摘要

Calibration/validation (cal/val) practices applied to airborne hyperspectral imagery of Arcticregions were developed and assessed as an integrated up-scaling methodology that considers:(ⅰ) calibration of a laboratory reflectance reference panel; (ⅱ) cross-calibration of multiplefield panels; (ⅲ) quality assurance checks of field spectroscopy data; and, (ⅳ) comparison ofresults with airborne hyperspectral imagery. Overall errors of up to 27% were reduced to<4% using these methods. Calibration results of the laboratory panel provided an improvementof 1% in the visible, near and lower shortwave infrared regions with respect to bestestimates achievable using manufacturer supplied calibration data. This improvement wastransferred to field panels using an in-house cross-calibration approach that also allowedpanels to be assessed for degradation that occurs during field deployment. Comparison ofthe field spectroscopy results of four cal/val targets with hyperspectral imagery followingatmospheric correction identified discrepancies from 1% to 4% (absolute) between 450nmand 1050 nm, with errors as high as 27% at lower wavelengths. Application of scene-basedrefinements using two cal/val targets reduced this error across the entire spectral range(<4%) with the most significant improvements below 500 nm. These methods also haveimportant implications to satellite image analysis, especially in Arctic and northern regions.
机译:开发并评估了应用于北极地区航空高光谱成像的校准/验证(cal / val)做法,并作为一种综合的放大方法进行了评估,该方法考虑了:(ⅰ)实验室反射参考面板的校准; (ⅱ)多场面板的交叉校准; (ⅲ)现场光谱数据的质量保证检查; (ⅳ)将结果与机载高光谱图像进行比较。使用这些方法,将高达27%的总误差降低到<4%。相对于使用制造商提供的校准数据可获得的最佳估计,实验室面板的校准结果在可见,近和较低的短波红外区域提供了1%的改善。使用内部交叉校准方法将此改进转移到现场面板上,该方法还可以评估面板在现场部署过程中发生的劣化。大气校正后,将具有高光谱图像的四个cal / val目标的光谱结果进行比较,发现450nm和1050 nm之间的差异从1%到4%(绝对值),在较低波长下误差高达27%。使用两个cal / val目标进行基于场景的优化应用,可在整个光谱范围内(<4%)降低此误差,其中最显着的改进是在500 nm以下。这些方法对卫星图像分析也具有重要意义,尤其是在北极和北部地区。

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