An Assessment of Polynomial Regression Techniques for the Relative Radiometric Normalization (RRN) of High-Resolution Multi-Temporal Airborne Thermal Infrared (TIR) Imagery

Mir Mustafizur Rahman, Geoffrey J. Hay, Isabelle Couloigner, Bharanidharan Hemachandran, Jeremy Bailin. An Assessment of Polynomial Regression Techniques for the Relative Radiometric Normalization (RRN) of High-Resolution Multi-Temporal Airborne Thermal Infrared (TIR) Imagery. Remote Sensing, 6(12):11810-11828, 2014. [doi]

@article{RahmanHCHB14,
  title = {An Assessment of Polynomial Regression Techniques for the Relative Radiometric Normalization (RRN) of High-Resolution Multi-Temporal Airborne Thermal Infrared (TIR) Imagery},
  author = {Mir Mustafizur Rahman and Geoffrey J. Hay and Isabelle Couloigner and Bharanidharan Hemachandran and Jeremy Bailin},
  year = {2014},
  doi = {10.3390/rs61211810},
  url = {http://dx.doi.org/10.3390/rs61211810},
  researchr = {https://researchr.org/publication/RahmanHCHB14},
  cites = {0},
  citedby = {0},
  journal = {Remote Sensing},
  volume = {6},
  number = {12},
  pages = {11810-11828},
}