Arctic Sea Ice Characterization Using RISAT-1 Compact-Pol SAR Imagery and Feature Evaluation: A Case Study Over Northeast Greenland
Synthetic Aperture Radar (SAR) polarimetry has become a valuable tool in space-borne SAR-based sea ice analysis. The two major objectives in SAR-based remote sensing of sea ice are, on the one hand, to have a large coverage and, on the other hand, to obtain a radar response that carries as much info...
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ftdoajarticles:oai:doaj.org/article:8f6b6f16ffc14ad59319c1eefc70dcf5 2023-05-15T15:13:29+02:00 Arctic Sea Ice Characterization Using RISAT-1 Compact-Pol SAR Imagery and Feature Evaluation: A Case Study Over Northeast Greenland Suman Singha Rudolf Ressel 2017-01-01T00:00:00Z https://doi.org/10.1109/JSTARS.2017.2691258 https://doaj.org/article/8f6b6f16ffc14ad59319c1eefc70dcf5 EN eng IEEE https://ieeexplore.ieee.org/document/7932413/ https://doaj.org/toc/2151-1535 2151-1535 doi:10.1109/JSTARS.2017.2691258 https://doaj.org/article/8f6b6f16ffc14ad59319c1eefc70dcf5 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 10, Iss 8, Pp 3504-3514 (2017) Artificial neural network compact polarimetry (CP) feature extraction RISAT-1 RADARSAT-2 sea ice classification Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 article 2017 ftdoajarticles https://doi.org/10.1109/JSTARS.2017.2691258 2022-12-31T06:32:06Z Synthetic Aperture Radar (SAR) polarimetry has become a valuable tool in space-borne SAR-based sea ice analysis. The two major objectives in SAR-based remote sensing of sea ice are, on the one hand, to have a large coverage and, on the other hand, to obtain a radar response that carries as much information as possible in order to characterize sea ice. Single-polarimetric acquisitions of existing sensors offer a wide coverage on the ground, whereas dual polarimetric or even better fully polarimetric data offer a higher information content, which allows for a more reliable automated sea ice analysis at a cost of smaller swath. In order to reconcile the advantages of fully polarimetric acquisitions with the higher ground coverage of acquisitions with fewer polarimetric channels, hybrid/compact polarimetric acquisitions offer an excellent tradeoff between the mentioned objectives. With the advent of the RISAT-1 satellite platform, we are able to explore the potential of compact dual pol acquisitions for sea ice analysis and classification. Our algorithmic approach for an automated sea ice classification consist of two steps. In the first step, we perform a feature extraction followed by a feature evaluation procedure. The resulting feature vectors are then ingested into a trained artificial neural network classifier to arrive at a pixel-wise supervised classification. We present a comprehensive polarimetric feature analysis and classification results on a dataset acquired off the eastern Greenland coast, along with comparisons of results obtained from near-coincident (spatially and temporally) C -band fully polarimetric imagery acquired by RADARSAT-2. Article in Journal/Newspaper Arctic Greenland Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Greenland IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10 8 3504 3514 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Artificial neural network compact polarimetry (CP) feature extraction RISAT-1 RADARSAT-2 sea ice classification Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
spellingShingle |
Artificial neural network compact polarimetry (CP) feature extraction RISAT-1 RADARSAT-2 sea ice classification Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 Suman Singha Rudolf Ressel Arctic Sea Ice Characterization Using RISAT-1 Compact-Pol SAR Imagery and Feature Evaluation: A Case Study Over Northeast Greenland |
topic_facet |
Artificial neural network compact polarimetry (CP) feature extraction RISAT-1 RADARSAT-2 sea ice classification Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
description |
Synthetic Aperture Radar (SAR) polarimetry has become a valuable tool in space-borne SAR-based sea ice analysis. The two major objectives in SAR-based remote sensing of sea ice are, on the one hand, to have a large coverage and, on the other hand, to obtain a radar response that carries as much information as possible in order to characterize sea ice. Single-polarimetric acquisitions of existing sensors offer a wide coverage on the ground, whereas dual polarimetric or even better fully polarimetric data offer a higher information content, which allows for a more reliable automated sea ice analysis at a cost of smaller swath. In order to reconcile the advantages of fully polarimetric acquisitions with the higher ground coverage of acquisitions with fewer polarimetric channels, hybrid/compact polarimetric acquisitions offer an excellent tradeoff between the mentioned objectives. With the advent of the RISAT-1 satellite platform, we are able to explore the potential of compact dual pol acquisitions for sea ice analysis and classification. Our algorithmic approach for an automated sea ice classification consist of two steps. In the first step, we perform a feature extraction followed by a feature evaluation procedure. The resulting feature vectors are then ingested into a trained artificial neural network classifier to arrive at a pixel-wise supervised classification. We present a comprehensive polarimetric feature analysis and classification results on a dataset acquired off the eastern Greenland coast, along with comparisons of results obtained from near-coincident (spatially and temporally) C -band fully polarimetric imagery acquired by RADARSAT-2. |
format |
Article in Journal/Newspaper |
author |
Suman Singha Rudolf Ressel |
author_facet |
Suman Singha Rudolf Ressel |
author_sort |
Suman Singha |
title |
Arctic Sea Ice Characterization Using RISAT-1 Compact-Pol SAR Imagery and Feature Evaluation: A Case Study Over Northeast Greenland |
title_short |
Arctic Sea Ice Characterization Using RISAT-1 Compact-Pol SAR Imagery and Feature Evaluation: A Case Study Over Northeast Greenland |
title_full |
Arctic Sea Ice Characterization Using RISAT-1 Compact-Pol SAR Imagery and Feature Evaluation: A Case Study Over Northeast Greenland |
title_fullStr |
Arctic Sea Ice Characterization Using RISAT-1 Compact-Pol SAR Imagery and Feature Evaluation: A Case Study Over Northeast Greenland |
title_full_unstemmed |
Arctic Sea Ice Characterization Using RISAT-1 Compact-Pol SAR Imagery and Feature Evaluation: A Case Study Over Northeast Greenland |
title_sort |
arctic sea ice characterization using risat-1 compact-pol sar imagery and feature evaluation: a case study over northeast greenland |
publisher |
IEEE |
publishDate |
2017 |
url |
https://doi.org/10.1109/JSTARS.2017.2691258 https://doaj.org/article/8f6b6f16ffc14ad59319c1eefc70dcf5 |
geographic |
Arctic Greenland |
geographic_facet |
Arctic Greenland |
genre |
Arctic Greenland Sea ice |
genre_facet |
Arctic Greenland Sea ice |
op_source |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 10, Iss 8, Pp 3504-3514 (2017) |
op_relation |
https://ieeexplore.ieee.org/document/7932413/ https://doaj.org/toc/2151-1535 2151-1535 doi:10.1109/JSTARS.2017.2691258 https://doaj.org/article/8f6b6f16ffc14ad59319c1eefc70dcf5 |
op_doi |
https://doi.org/10.1109/JSTARS.2017.2691258 |
container_title |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
container_volume |
10 |
container_issue |
8 |
container_start_page |
3504 |
op_container_end_page |
3514 |
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1766344040271314944 |