Figure 1. Recurrent modular network architecture
A novel iterative approach based on a modular neural architecture [1] is presented for the classification of SAR images of sea ice. Additionally to the local image information the algorithm uses spatial context information derived from the first iteration of the algorithm and refines it in the subse...
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Text |
Language: | English |
Subjects: | |
Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.3173 http://www.marc-toussaint.net/publications/bogdanov-et-al-05.pdf |
id |
ftciteseerx:oai:CiteSeerX.psu:10.1.1.60.3173 |
---|---|
record_format |
openpolar |
spelling |
ftciteseerx:oai:CiteSeerX.psu:10.1.1.60.3173 2023-05-15T18:17:08+02:00 Figure 1. Recurrent modular network architecture Recurrent Modular Network Andrey V. Bogdanov A Marc Toussaint B Stein S The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.3173 http://www.marc-toussaint.net/publications/bogdanov-et-al-05.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.3173 http://www.marc-toussaint.net/publications/bogdanov-et-al-05.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.marc-toussaint.net/publications/bogdanov-et-al-05.pdf text ftciteseerx 2016-01-08T13:57:55Z A novel iterative approach based on a modular neural architecture [1] is presented for the classification of SAR images of sea ice. Additionally 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 is used with the aim to capture structural features of the SAR images of sea ice in the Marginal Ice Zone. Text Sea ice Unknown |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
ftciteseerx |
language |
English |
description |
A novel iterative approach based on a modular neural architecture [1] is presented for the classification of SAR images of sea ice. Additionally 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 is used with the aim to capture structural features of the SAR images of sea ice in the Marginal Ice Zone. |
author2 |
The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Recurrent Modular Network Andrey V. Bogdanov A Marc Toussaint B Stein S |
spellingShingle |
Recurrent Modular Network Andrey V. Bogdanov A Marc Toussaint B Stein S Figure 1. Recurrent modular network architecture |
author_facet |
Recurrent Modular Network Andrey V. Bogdanov A Marc Toussaint B Stein S |
author_sort |
Recurrent Modular Network |
title |
Figure 1. Recurrent modular network architecture |
title_short |
Figure 1. Recurrent modular network architecture |
title_full |
Figure 1. Recurrent modular network architecture |
title_fullStr |
Figure 1. Recurrent modular network architecture |
title_full_unstemmed |
Figure 1. Recurrent modular network architecture |
title_sort |
figure 1. recurrent modular network architecture |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.3173 http://www.marc-toussaint.net/publications/bogdanov-et-al-05.pdf |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
http://www.marc-toussaint.net/publications/bogdanov-et-al-05.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.3173 http://www.marc-toussaint.net/publications/bogdanov-et-al-05.pdf |
op_rights |
Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
_version_ |
1766191192076189696 |