Quantification and reduction of erroneous differences between images in remote sensing

@article{Anderson2007QuantificationAR,
  title={Quantification and reduction of erroneous differences between images in remote sensing},
  author={G. Lawrence Anderson and Kalman Peleg},
  journal={Environmental and Ecological Statistics},
  year={2007},
  volume={14},
  pages={113-127}
}
The reliability of image data, along with the difficulty of accurately comparing images acquired at different times or from different sensors, is a generic problem in remote sensing. Measurement repeatability errors occur frequently and can substantially reduce the system’s ability to reliably quantify real spectral and spatial change in a target. This paper outlines methodologies for quantifying and reducing erroneous differences between monochrome and multispectral or hyperspectral images… CONTINUE READING

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