Please use this identifier to cite or link to this item:
http://hdl.handle.net/2122/14994
DC Field | Value | Language |
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dc.date.accessioned | 2021-12-02T11:04:06Z | - |
dc.date.available | 2021-12-02T11:04:06Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | http://hdl.handle.net/2122/14994 | - |
dc.description.abstract | The article presents a methodology for examining a temporal sequence of synthetic aperture radar (SAR) images, as applied to the detection of the A-68 iceberg and its drifting trajectory. Using an improved image processing scheme, the analysis covers a period of eighteen months and makes use of a set of Sentinel-1 images. A-68 iceberg calved from the Larsen C ice shelf in July 2017 and is one of the largest icebergs observed by remote sensing on record. After the calving, there was only a modest decrease in the area (about 1%) in the first six months. It has been drifting along the east coast of the Antarctic Peninsula, and is expected to continue its path for more than a decade. It is important to track the huge A-68 iceberg to retrieve information on the physics of iceberg dynamics and for maritime security reasons. Two relevant problems are addressed by the image processing scheme presented here: (a) How to achieve quasi-automatic analysis using a fuzzy logic approach to image contrast enhancement, and (b) The use of ferromagnetic concepts to define a stochastic segmentation. The Ising equation is used to model the energy function of the process, and the segmentation is the result of a stochastic minimization. | en_US |
dc.language.iso | English | en_US |
dc.publisher.name | MDPI | en_US |
dc.relation.ispartof | Remote Sensing | en_US |
dc.relation.ispartofseries | /13(2021) | en_US |
dc.title | On the Detection and Long-Term Path Visualisation of A-68 Iceberg | en_US |
dc.type | article | en |
dc.description.status | Published | en_US |
dc.description.pagenumber | 460 | en_US |
dc.identifier.doi | 10.3390/rs13030460 | en_US |
dc.description.obiettivoSpecifico | 5A. Ricerche polari e paleoclima | en_US |
dc.description.journalType | JCR Journal | en_US |
dc.relation.issn | 2072-4292 | en_US |
dc.contributor.author | Lopez-Lopez, Ludwin | - |
dc.contributor.author | Parmiggiani, Flavio | - |
dc.contributor.author | Moctezuma-Flores, Miguel | - |
dc.contributor.author | Guerrieri, Lorenzo | - |
dc.contributor.department | Facultad de Ingenieria, Universidad Nacional Autonoma de Mexico | en_US |
dc.contributor.department | CNR | en_US |
dc.contributor.department | Facultad de Ingenieria, Universidad Nacional Autonoma de Mexico | en_US |
dc.contributor.department | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia | en_US |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | Facultad de Ingenieria, Universidad Nacional Autonoma de Mexico | - |
crisitem.author.dept | CNR | - |
crisitem.author.dept | Facultad de Ingenieria, Universidad Nacional Autonoma de Mexico | - |
crisitem.author.dept | Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione ONT, Roma, Italia | - |
crisitem.author.orcid | 0000-0001-7090-1291 | - |
crisitem.author.orcid | 0000-0002-6046-2421 | - |
crisitem.author.orcid | 0000-0003-1894-5048 | - |
crisitem.author.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
crisitem.department.parentorg | Istituto Nazionale di Geofisica e Vulcanologia | - |
Appears in Collections: | Article published / in press |
Files in This Item:
File | Description | Size | Format | |
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Lopez-Lopez et al_2021_remotesensing-13-00460.pdf | Open Access published article | 1.61 MB | Adobe PDF | View/Open |
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