ConvSegFormer - A Convolution Aided SegFormer Architecture for Detection of Discontinuities in Wrapped Interferometric Phase Imagery of Sea Ice

Bibliographic Details
Main Authors: Dulam, Rohit Venkata Sai, Fedders, Emily R., Mahoney, Andrew R., Kambhamettu, Chandra
Format: Book Part
Language:unknown
Published: Springer Nature Switzerland 2023
Subjects:
Online Access:http://dx.doi.org/10.1007/978-3-031-31438-4_14
https://link.springer.com/content/pdf/10.1007/978-3-031-31438-4_14
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spelling crspringernat:10.1007/978-3-031-31438-4_14 2024-03-10T08:37:17+00:00 ConvSegFormer - A Convolution Aided SegFormer Architecture for Detection of Discontinuities in Wrapped Interferometric Phase Imagery of Sea Ice Dulam, Rohit Venkata Sai Fedders, Emily R. Mahoney, Andrew R. Kambhamettu, Chandra 2023 http://dx.doi.org/10.1007/978-3-031-31438-4_14 https://link.springer.com/content/pdf/10.1007/978-3-031-31438-4_14 unknown Springer Nature Switzerland https://www.springernature.com/gp/researchers/text-and-data-mining https://www.springernature.com/gp/researchers/text-and-data-mining https://www.springernature.com/gp/researchers/text-and-data-mining https://www.springernature.com/gp/researchers/text-and-data-mining Image Analysis Lecture Notes in Computer Science page 203-213 ISSN 0302-9743 1611-3349 ISBN 9783031314377 9783031314384 book-chapter 2023 crspringernat https://doi.org/10.1007/978-3-031-31438-4_14 2024-02-13T16:49:16Z Book Part Sea ice Springer Nature 203 213
institution Open Polar
collection Springer Nature
op_collection_id crspringernat
language unknown
format Book Part
author Dulam, Rohit Venkata Sai
Fedders, Emily R.
Mahoney, Andrew R.
Kambhamettu, Chandra
spellingShingle Dulam, Rohit Venkata Sai
Fedders, Emily R.
Mahoney, Andrew R.
Kambhamettu, Chandra
ConvSegFormer - A Convolution Aided SegFormer Architecture for Detection of Discontinuities in Wrapped Interferometric Phase Imagery of Sea Ice
author_facet Dulam, Rohit Venkata Sai
Fedders, Emily R.
Mahoney, Andrew R.
Kambhamettu, Chandra
author_sort Dulam, Rohit Venkata Sai
title ConvSegFormer - A Convolution Aided SegFormer Architecture for Detection of Discontinuities in Wrapped Interferometric Phase Imagery of Sea Ice
title_short ConvSegFormer - A Convolution Aided SegFormer Architecture for Detection of Discontinuities in Wrapped Interferometric Phase Imagery of Sea Ice
title_full ConvSegFormer - A Convolution Aided SegFormer Architecture for Detection of Discontinuities in Wrapped Interferometric Phase Imagery of Sea Ice
title_fullStr ConvSegFormer - A Convolution Aided SegFormer Architecture for Detection of Discontinuities in Wrapped Interferometric Phase Imagery of Sea Ice
title_full_unstemmed ConvSegFormer - A Convolution Aided SegFormer Architecture for Detection of Discontinuities in Wrapped Interferometric Phase Imagery of Sea Ice
title_sort convsegformer - a convolution aided segformer architecture for detection of discontinuities in wrapped interferometric phase imagery of sea ice
publisher Springer Nature Switzerland
publishDate 2023
url http://dx.doi.org/10.1007/978-3-031-31438-4_14
https://link.springer.com/content/pdf/10.1007/978-3-031-31438-4_14
genre Sea ice
genre_facet Sea ice
op_source Image Analysis
Lecture Notes in Computer Science
page 203-213
ISSN 0302-9743 1611-3349
ISBN 9783031314377 9783031314384
op_rights https://www.springernature.com/gp/researchers/text-and-data-mining
https://www.springernature.com/gp/researchers/text-and-data-mining
https://www.springernature.com/gp/researchers/text-and-data-mining
https://www.springernature.com/gp/researchers/text-and-data-mining
op_doi https://doi.org/10.1007/978-3-031-31438-4_14
container_start_page 203
op_container_end_page 213
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