18 October 2005 Recurrent modular network architecture for sea ice classification in the marginal ice zone using ERS SAR images
Author Affiliations +
Abstract
A novel iterative approach based on a modular neural architecture (Jacobs, Jordan, and Barto, 1990) is presented for the classification of SAR images of sea ice. In addition to the local image information, the algorithm uses spatial context information derived from the first iteration of the algorithm and refines it in the subsequent iterations. The modular structure of the neural network aims to capture structural features of the SAR images of sea ice in the Marginal Ice Zone.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrey V. Bogdanov, Andrey V. Bogdanov, Marc Toussaint, Marc Toussaint, Stein Sandven, Stein Sandven, } "Recurrent modular network architecture for sea ice classification in the marginal ice zone using ERS SAR images", Proc. SPIE 5982, Image and Signal Processing for Remote Sensing XI, 59820W (18 October 2005); doi: 10.1117/12.627776; https://doi.org/10.1117/12.627776
PROCEEDINGS
5 PAGES


SHARE
Back to Top