Mustafizur Rahman, M.; Hay, G.J.; Couloigner, I.; Hemachandran, B.; Bailin, J.
An Assessment of Polynomial Regression Techniques for the Relative Radiometric Normalization (RRN) of High-Resolution Multi-Temporal Airborne Thermal Infrared (TIR) Imagery. Remote Sens. 2014, 6, 11810-11828.
https://doi.org/10.3390/rs61211810
AMA Style
Mustafizur Rahman M, Hay GJ, Couloigner I, Hemachandran B, Bailin J.
An Assessment of Polynomial Regression Techniques for the Relative Radiometric Normalization (RRN) of High-Resolution Multi-Temporal Airborne Thermal Infrared (TIR) Imagery. Remote Sensing. 2014; 6(12):11810-11828.
https://doi.org/10.3390/rs61211810
Chicago/Turabian Style
Mustafizur Rahman, Mir, Geoffrey J. Hay, Isabelle Couloigner, Bharanidharan Hemachandran, and Jeremy Bailin.
2014. "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, no. 12: 11810-11828.
https://doi.org/10.3390/rs61211810
APA Style
Mustafizur Rahman, M., Hay, G. J., Couloigner, I., Hemachandran, B., & Bailin, J.
(2014). 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.
https://doi.org/10.3390/rs61211810