Title :
Using SOM to estimate optical inherent properties from remote sensing reflectance
Author :
Chazottes, Aymeric ; Crépon, Michel ; Thiria, Sylvie
Author_Institution :
LOCEAN/IPSL, Paris
Abstract :
This article presents a neural network classifier able to retrieve the optical properties of four ocean constituents from remote sensing reflectance. When comparing this model to some standard algorithms, we found that the neural network gives the best performances.
Keywords :
geophysics computing; pattern classification; remote sensing; self-organising feature maps; SOM; neural network classifier; ocean constituent; remote sensing reflectance; Absorption; Atmospheric modeling; Neural networks; Oceans; Optical scattering; Optical sensors; Reflectivity; Remote sensing; Spatial databases; Water;
Conference_Titel :
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1379-9
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2007.4371416
