首页> 外文期刊>Journal of Applied Remote Sensing >Quantitative and comparative examination of the spectral features characteristics of the surface reflectance information retrieved from the atmospherically corrected images of Hyperion
【24h】

Quantitative and comparative examination of the spectral features characteristics of the surface reflectance information retrieved from the atmospherically corrected images of Hyperion

机译:从Hyperion的大气校正图像中获取的表面反射信息的光谱特征的定量和比较检查

获取原文
获取原文并翻译 | 示例
           

摘要

The retrieval of surface reflectance information from the same single pixel of the Hyperion image atmospherically corrected by using image-based [internal average relative reflectance (IARR), log residuals, and flat field] and radiative transfer model (RTM)-based [the fast line-of-sight atmospheric analysis of spectral hypercubes (FLAASH) and the Atmospheric and Topographic Correction 2 (ATCOR-2)] approaches and the spectral feature characteristics of this information were quantitatively and comparatively examined based on measured ground spectral reflectance data. The spectral features quantitative analysis results of the reflectance data showed that spectral reflectances that are suitable and best fitting to the ground spectral reflectances which were obtained from the pixels of FLAASH, ATCOR-2, and flat field-corrected images, respectively. The retrieval of surface reflectance from the FLAASH-corrected image pixels, in general, produced high scores in spectral parameter analyses. Of the image-based approaches, only in flat field-derived reflectance data, results were obtained which are high and nearest to those of RTM and ground spectral reflectance data. Generally, low scores obtained in the spectral parameter analyses of the surface reflectance values retrieved from single pixels of IARR and log residuals-corrected images showed the results that fit worst to the measured ground spectral reflectance.
机译:通过使用基于图像的[内部平均相对反射率(IARR),对数残差和平坦场]和基于辐射转移模型(RTM)的Hyperion图像,从Hyperion图像的相同单个像素中检索表面反射率信息,基于光谱超立方体的视线大气分析(FLAASH)和“大气和地形校正2”(ATCOR-2)方法,并根据测得的地面光谱反射率数据对这些信息的光谱特征进行了定量和比较检查。反射率数据的光谱特征定量分析结果表明,光谱反射率最适合并最适合分别从FLAASH,ATCOR-2和平面场校正图像的像素获得的地面光谱反射率。通常,从FLAASH校正后的图像像素中检索表面反射率在光谱参数分析中产生了很高的分数。在基于图像的方法中,仅在源自平面场的反射率数据中,获得的结果高且最接近RTM和地面光谱反射率数据。通常,在从IARR的单个像素获取的表面反射率值的光谱参数分析和对数残差校正的图像中获得的低分显示出最不适合所测地面光谱反射率的结果。

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