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http://hdl.handle.net/2122/14994
Authors: | Lopez-Lopez, Ludwin* Parmiggiani, Flavio* Moctezuma-Flores, Miguel* Guerrieri, Lorenzo* |
Title: | On the Detection and Long-Term Path Visualisation of A-68 Iceberg | Journal: | Remote Sensing | Series/Report no.: | /13(2021) | Publisher: | MDPI | Issue Date: | 2021 | DOI: | 10.3390/rs13030460 | 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. |
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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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