Incorporating Incidence Angle Variation into Sar Image Segmentation
Accepted manuscript version. Published version available at https://doi.org/10.1109/IGARSS.2018.8519043. We present a new approach for incorporating incidence angle derived synthetic aperture radar (SAR) brightness variation directly into SAR image analysis. This approach is unique in that the incid...
Published in: | IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium |
---|---|
Main Authors: | , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2018
|
Subjects: | |
Online Access: | https://hdl.handle.net/10037/15198 https://doi.org/10.1109/IGARSS.2018.8519043 |
id |
ftunivtroemsoe:oai:munin.uit.no:10037/15198 |
---|---|
record_format |
openpolar |
spelling |
ftunivtroemsoe:oai:munin.uit.no:10037/15198 2023-05-15T14:27:18+02:00 Incorporating Incidence Angle Variation into Sar Image Segmentation Doulgeris, Anthony Paul Cristea, Anca 2018-11-05 https://hdl.handle.net/10037/15198 https://doi.org/10.1109/IGARSS.2018.8519043 eng eng Institute of Electrical and Electronics Engineers (IEEE) IEEE International Geoscience and Remote Sensing Symposium proceedings info:eu-repo/grantAgreement/RCN/SFI/237906/Norway/Centre for Integrated Remote Sensing and Forecasting for Arctic Operations/CIRFA/ Doulgeris, A.P. & Cristea, A. (2018). Incorporating incidence angle variation into sar image segmentation. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 22. - 27. July 2018 , 8543-8546. https://doi.org/10.1109/IGARSS.2018.8519043 FRIDAID 1667353 doi:10.1109/IGARSS.2018.8519043 2153-6996 2153-7003 https://hdl.handle.net/10037/15198 openAccess Synthetic Aperture Radar Incidence Angle Correction Wide-swath imagery Terrain Correction Sentinel-1 1 VDP::Mathematics and natural science: 400::Physics: 430 VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430 Journal article Tidsskriftartikkel Peer reviewed 2018 ftunivtroemsoe https://doi.org/10.1109/IGARSS.2018.8519043 2021-06-25T17:56:23Z Accepted manuscript version. Published version available at https://doi.org/10.1109/IGARSS.2018.8519043. We present a new approach for incorporating incidence angle derived synthetic aperture radar (SAR) brightness variation directly into SAR image analysis. This approach is unique in that the incidence angle dependency is modeled explicitly into the probability density function rather than an image-wide pre-processing `correction'. It can then be used for supervised and unsupervised image analysis, and is notably able to account for a different dependency rate for each class. This has potential benefits for wide-swath SAR imagery over flat areas and ocean, wide angled airborne and UAV based SAR data, connecting narrow-beam SAR images at different acquisition angles, as well as land-based analysis with local topographic terrain angles. An initial example demonstrates unsupervised image segmentation applied to sea ice mapping for meteorological services and climate science, and is compared to the same algorithm without the incidence angle modeling. Article in Journal/Newspaper Arctic Sea ice University of Tromsø: Munin Open Research Archive IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium 8543 8546 |
institution |
Open Polar |
collection |
University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
topic |
Synthetic Aperture Radar Incidence Angle Correction Wide-swath imagery Terrain Correction Sentinel-1 1 VDP::Mathematics and natural science: 400::Physics: 430 VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430 |
spellingShingle |
Synthetic Aperture Radar Incidence Angle Correction Wide-swath imagery Terrain Correction Sentinel-1 1 VDP::Mathematics and natural science: 400::Physics: 430 VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430 Doulgeris, Anthony Paul Cristea, Anca Incorporating Incidence Angle Variation into Sar Image Segmentation |
topic_facet |
Synthetic Aperture Radar Incidence Angle Correction Wide-swath imagery Terrain Correction Sentinel-1 1 VDP::Mathematics and natural science: 400::Physics: 430 VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430 |
description |
Accepted manuscript version. Published version available at https://doi.org/10.1109/IGARSS.2018.8519043. We present a new approach for incorporating incidence angle derived synthetic aperture radar (SAR) brightness variation directly into SAR image analysis. This approach is unique in that the incidence angle dependency is modeled explicitly into the probability density function rather than an image-wide pre-processing `correction'. It can then be used for supervised and unsupervised image analysis, and is notably able to account for a different dependency rate for each class. This has potential benefits for wide-swath SAR imagery over flat areas and ocean, wide angled airborne and UAV based SAR data, connecting narrow-beam SAR images at different acquisition angles, as well as land-based analysis with local topographic terrain angles. An initial example demonstrates unsupervised image segmentation applied to sea ice mapping for meteorological services and climate science, and is compared to the same algorithm without the incidence angle modeling. |
format |
Article in Journal/Newspaper |
author |
Doulgeris, Anthony Paul Cristea, Anca |
author_facet |
Doulgeris, Anthony Paul Cristea, Anca |
author_sort |
Doulgeris, Anthony Paul |
title |
Incorporating Incidence Angle Variation into Sar Image Segmentation |
title_short |
Incorporating Incidence Angle Variation into Sar Image Segmentation |
title_full |
Incorporating Incidence Angle Variation into Sar Image Segmentation |
title_fullStr |
Incorporating Incidence Angle Variation into Sar Image Segmentation |
title_full_unstemmed |
Incorporating Incidence Angle Variation into Sar Image Segmentation |
title_sort |
incorporating incidence angle variation into sar image segmentation |
publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
publishDate |
2018 |
url |
https://hdl.handle.net/10037/15198 https://doi.org/10.1109/IGARSS.2018.8519043 |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
IEEE International Geoscience and Remote Sensing Symposium proceedings info:eu-repo/grantAgreement/RCN/SFI/237906/Norway/Centre for Integrated Remote Sensing and Forecasting for Arctic Operations/CIRFA/ Doulgeris, A.P. & Cristea, A. (2018). Incorporating incidence angle variation into sar image segmentation. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 22. - 27. July 2018 , 8543-8546. https://doi.org/10.1109/IGARSS.2018.8519043 FRIDAID 1667353 doi:10.1109/IGARSS.2018.8519043 2153-6996 2153-7003 https://hdl.handle.net/10037/15198 |
op_rights |
openAccess |
op_doi |
https://doi.org/10.1109/IGARSS.2018.8519043 |
container_title |
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium |
container_start_page |
8543 |
op_container_end_page |
8546 |
_version_ |
1766300992349929472 |