Impact of vector quantization compression on the surface reflectance retrieval: a case study

@article{Hu1999ImpactOV,
  title={Impact of vector quantization compression on the surface reflectance retrieval: a case study},
  author={Baoxin Hu and Shen-En Qian and Allan Hollinger},
  journal={IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)},
  year={1999},
  volume={2},
  pages={1174-1176 vol.2}
}
This study is to investigate the effects of the vector quantization (VQ) compression on surface reflectance retrieval based on a CASI data set. The VQ compression with 4 different numbers of code vectors (256, 4096, 8192 and 16384) is evaluated. Based on the best-estimate input model parameters for atmospheric correction, the authors compare the mean and standard deviation of the surface reflectance over 9 specified zones retrieved from the original data cube and those retrieved from the… CONTINUE READING