Analysis of the efficiency of the adaptive canny method for the detection of icebergs at open sea
- Autores
- Nemer Pelliza, Karim Alejandra; Pucheta, Martín Alejo
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The detection of icebergs in the open sea, as well as its evolution in displacement and shrinking, is vital for navigation, the study of the evolution of Polar regions, and the Earth climate change, among others. In order to carry out these studies, it is necessary to delimit accurately the icebergs in satellite images, mainly of the Synthetic Aperture Radar (SAR) type. The Adaptive Canny method has shown to be efficient for the detection of edges of objects in SAR images, according to recent publications and confer- ences. These studies were only carried out for images that had approximately half of each backscatter, without considering that the dimension of the objects can affect the edge detection process. Here, we present the results of the efficiency of the Adaptive Canny method as the size of the object, from which it is intended to extract the contour, decreases. A systematic analysis of the behavior of the method has been performed with objects of variated dimensions, through a Monte Carlo type experiment with synthetic images, where the contours of the figures were extracted with the Adaptive Canny method and compared with the Ground Truth (GT). Then, the method was tested on real images of the Antarctic Ocean, with blocks of ice of different sizes to contrast the results with those obtained with synthetic images
Fil: Nemer Pelliza, Karim Alejandra. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
Fil: Pucheta, Martín Alejo. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.
Peer Reviewed - Fuente
- ANALYSIS OF THE EFFICIENCY OF THE ADAPTIVE CANNY METHOD FOR THE DETECTION OF ICEBERGS AT OPENVolume XLII-3/W12-2020. SEA,
- Materia
-
Iceberg
Sea ice
Synthetic aperture radar
Edge detection - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- Attribution-NonCommercial-NoDerivatives 4.0 International
- Repositorio
.jpg)
- Institución
- Universidad Tecnológica Nacional
- OAI Identificador
- oai:ria.utn.edu.ar:20.500.12272/14032
Ver los metadatos del registro completo
| id |
RIAUTN_c301a8bed818dffe0f7d8505ef43e514 |
|---|---|
| oai_identifier_str |
oai:ria.utn.edu.ar:20.500.12272/14032 |
| network_acronym_str |
RIAUTN |
| repository_id_str |
a |
| network_name_str |
Repositorio Institucional Abierto (UTN) |
| spelling |
Analysis of the efficiency of the adaptive canny method for the detection of icebergs at open seaNemer Pelliza, Karim AlejandraPucheta, Martín AlejoIcebergSea iceSynthetic aperture radarEdge detectionThe detection of icebergs in the open sea, as well as its evolution in displacement and shrinking, is vital for navigation, the study of the evolution of Polar regions, and the Earth climate change, among others. In order to carry out these studies, it is necessary to delimit accurately the icebergs in satellite images, mainly of the Synthetic Aperture Radar (SAR) type. The Adaptive Canny method has shown to be efficient for the detection of edges of objects in SAR images, according to recent publications and confer- ences. These studies were only carried out for images that had approximately half of each backscatter, without considering that the dimension of the objects can affect the edge detection process. Here, we present the results of the efficiency of the Adaptive Canny method as the size of the object, from which it is intended to extract the contour, decreases. A systematic analysis of the behavior of the method has been performed with objects of variated dimensions, through a Monte Carlo type experiment with synthetic images, where the contours of the figures were extracted with the Adaptive Canny method and compared with the Ground Truth (GT). Then, the method was tested on real images of the Antarctic Ocean, with blocks of ice of different sizes to contrast the results with those obtained with synthetic imagesFil: Nemer Pelliza, Karim Alejandra. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.Fil: Pucheta, Martín Alejo. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina.Peer ReviewedIEEE2025-10-23T20:41:10Z2020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articulopdfapplication/pdfIEEE Latin American GRSS & ISPRS Remote Sensing Conference, 2020.https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-459-2020https://hdl.handle.net/20.500.12272/14032ANALYSIS OF THE EFFICIENCY OF THE ADAPTIVE CANNY METHOD FOR THE DETECTION OF ICEBERGS AT OPENVolume XLII-3/W12-2020. SEA,reponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacionalenginfo:eu-repo/semantics/openAccessAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Nemer Pelliza, Karim Alejandra; Pucheta, Martín Alejo.https://creativecommons.org/licenses/by-nc-nd/4.0/2026-09-24T12:46:08Zoai:ria.utn.edu.ar:20.500.12272/14032instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:46:08.914Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse |
| dc.title.none.fl_str_mv |
Analysis of the efficiency of the adaptive canny method for the detection of icebergs at open sea |
| title |
Analysis of the efficiency of the adaptive canny method for the detection of icebergs at open sea |
| spellingShingle |
Analysis of the efficiency of the adaptive canny method for the detection of icebergs at open sea Nemer Pelliza, Karim Alejandra Iceberg Sea ice Synthetic aperture radar Edge detection |
| title_short |
Analysis of the efficiency of the adaptive canny method for the detection of icebergs at open sea |
| title_full |
Analysis of the efficiency of the adaptive canny method for the detection of icebergs at open sea |
| title_fullStr |
Analysis of the efficiency of the adaptive canny method for the detection of icebergs at open sea |
| title_full_unstemmed |
Analysis of the efficiency of the adaptive canny method for the detection of icebergs at open sea |
| title_sort |
Analysis of the efficiency of the adaptive canny method for the detection of icebergs at open sea |
| dc.creator.none.fl_str_mv |
Nemer Pelliza, Karim Alejandra Pucheta, Martín Alejo |
| author |
Nemer Pelliza, Karim Alejandra |
| author_facet |
Nemer Pelliza, Karim Alejandra Pucheta, Martín Alejo |
| author_role |
author |
| author2 |
Pucheta, Martín Alejo |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Iceberg Sea ice Synthetic aperture radar Edge detection |
| topic |
Iceberg Sea ice Synthetic aperture radar Edge detection |
| dc.description.none.fl_txt_mv |
The detection of icebergs in the open sea, as well as its evolution in displacement and shrinking, is vital for navigation, the study of the evolution of Polar regions, and the Earth climate change, among others. In order to carry out these studies, it is necessary to delimit accurately the icebergs in satellite images, mainly of the Synthetic Aperture Radar (SAR) type. The Adaptive Canny method has shown to be efficient for the detection of edges of objects in SAR images, according to recent publications and confer- ences. These studies were only carried out for images that had approximately half of each backscatter, without considering that the dimension of the objects can affect the edge detection process. Here, we present the results of the efficiency of the Adaptive Canny method as the size of the object, from which it is intended to extract the contour, decreases. A systematic analysis of the behavior of the method has been performed with objects of variated dimensions, through a Monte Carlo type experiment with synthetic images, where the contours of the figures were extracted with the Adaptive Canny method and compared with the Ground Truth (GT). Then, the method was tested on real images of the Antarctic Ocean, with blocks of ice of different sizes to contrast the results with those obtained with synthetic images Fil: Nemer Pelliza, Karim Alejandra. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina. Fil: Pucheta, Martín Alejo. Universidad Tecnológica Nacional. Facultad Regional Córdoba. Centro de Investigación en Informática para la Ingeniería; Argentina. Peer Reviewed |
| description |
The detection of icebergs in the open sea, as well as its evolution in displacement and shrinking, is vital for navigation, the study of the evolution of Polar regions, and the Earth climate change, among others. In order to carry out these studies, it is necessary to delimit accurately the icebergs in satellite images, mainly of the Synthetic Aperture Radar (SAR) type. The Adaptive Canny method has shown to be efficient for the detection of edges of objects in SAR images, according to recent publications and confer- ences. These studies were only carried out for images that had approximately half of each backscatter, without considering that the dimension of the objects can affect the edge detection process. Here, we present the results of the efficiency of the Adaptive Canny method as the size of the object, from which it is intended to extract the contour, decreases. A systematic analysis of the behavior of the method has been performed with objects of variated dimensions, through a Monte Carlo type experiment with synthetic images, where the contours of the figures were extracted with the Adaptive Canny method and compared with the Ground Truth (GT). Then, the method was tested on real images of the Antarctic Ocean, with blocks of ice of different sizes to contrast the results with those obtained with synthetic images |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020 2025-10-23T20:41:10Z |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
IEEE Latin American GRSS & ISPRS Remote Sensing Conference, 2020. https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-459-2020 https://hdl.handle.net/20.500.12272/14032 |
| identifier_str_mv |
IEEE Latin American GRSS & ISPRS Remote Sensing Conference, 2020. |
| url |
https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-459-2020 https://hdl.handle.net/20.500.12272/14032 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Nemer Pelliza, Karim Alejandra; Pucheta, Martín Alejo. https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ Nemer Pelliza, Karim Alejandra; Pucheta, Martín Alejo. https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.format.none.fl_str_mv |
pdf application/pdf |
| dc.publisher.none.fl_str_mv |
IEEE |
| publisher.none.fl_str_mv |
IEEE |
| dc.source.none.fl_str_mv |
ANALYSIS OF THE EFFICIENCY OF THE ADAPTIVE CANNY METHOD FOR THE DETECTION OF ICEBERGS AT OPENVolume XLII-3/W12-2020. SEA, reponame:Repositorio Institucional Abierto (UTN) instname:Universidad Tecnológica Nacional |
| reponame_str |
Repositorio Institucional Abierto (UTN) |
| collection |
Repositorio Institucional Abierto (UTN) |
| instname_str |
Universidad Tecnológica Nacional |
| repository.name.fl_str_mv |
Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional |
| repository.mail.fl_str_mv |
gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar |
| _version_ |
1877230916098588672 |
| score |
13.265058 |