Title :
Automatic feature learning of SAR images for sea ice concentration estimation using feed-forward neural networks
Author :
Lei Wang ; Scott, K. ; Clausi, David
Author_Institution :
Dept. of Syst. Design Eng., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
A two-layer feed forward neural network is used to estimate ice concentration from SAR images directly in this research. SAR image patches are used as input. The CIS (Canadian Ice Service) ice concentration image analyses are used to train the neural network. The experiment shows that the simple neural network can be used to generate a reasonable ice concentration with no preprocessing to the SAR images.
Keywords :
feature extraction; geophysical image processing; neural nets; oceanographic techniques; remote sensing by radar; sea ice; synthetic aperture radar; CIS ice concentration image analysis; Canadian Ice Service; SAR image patches; SAR images; automatic feature learning; feed-forward neural networks; sea ice concentration estimation; Biological neural networks; Estimation; Image analysis; Sea ice; Synthetic aperture radar; SAR; neural network; regression; sea ice concentration;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6947354
