TY - GEN
T1 - Mimick capacity of Generalized Gamma distribution for high resolution SAR image statistical modeling
AU - Sportouche, Helene
AU - Nicolas, Jean Marie
AU - Tupin, Florence
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/1
Y1 - 2016/11/1
N2 - In this paper we investigate the capacity of the Generalized Gamma distribution to mimick (or imitate) thanks to its three parameters other useful SAR distributions. We first compare it with the Fisher distribution when mimicking a K distribution of reference, thanks to the log-cumulant approach and through a Kullback-Leibler divergence. We then study how the Generalized Gamma distribution can imitate a Log-Normal distribution as asymtotic limit.
AB - In this paper we investigate the capacity of the Generalized Gamma distribution to mimick (or imitate) thanks to its three parameters other useful SAR distributions. We first compare it with the Fisher distribution when mimicking a K distribution of reference, thanks to the log-cumulant approach and through a Kullback-Leibler divergence. We then study how the Generalized Gamma distribution can imitate a Log-Normal distribution as asymtotic limit.
KW - Generalized Gamma distribution
KW - Statistical modeling of SAR data
KW - log-cumulant parameter estimation
UR - https://www.scopus.com/pages/publications/85007453098
U2 - 10.1109/IGARSS.2016.7730654
DO - 10.1109/IGARSS.2016.7730654
M3 - Conference contribution
AN - SCOPUS:85007453098
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 6328
EP - 6331
BT - 2016 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 36th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2016
Y2 - 10 July 2016 through 15 July 2016
ER -