IceDT - Machine Learning approach for automatic iceberg detection from SAR imagery


Author: Barbat, M. M.
Year: 2019
Beta Version 2019.1

IceDT is an open-source method developed intending to improve accurate automatic large-scale iceberg detection, the method applies an alternative machine-learning architecture focused on superpixel segmentation, incremental learning, and ensemble learning with application to high-resolution Synthetic Aperture Radar (SAR) images.

    Python 2.7

External Libraries Requirements:

    More information in code

The land mask, coastline and ice shelves vectors used for plotting are extracted from datasets provided on-line and are not included in this repository. More information about dependencies in code.


Citing IceDT:

Barbat, M. M., Wesche, C., Werhli, A. V., & Mata, M. M. (2019). An adaptive machine learning approach to improve automatic iceberg detection from SAR images. ISPRS Journal of Photogrammetry and Remote Sensing, 156(March), 247–259.


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 copyright (c) 2019 by Mauro Barbat.

Permission to use, copy, modify, and distribute this software and its documentation for any purpose and without fee is hereby granted, provided that the above copyright notices appear in all copies and that both the copyright notices and this permission notice appear in supporting documentation. THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.


Ocean and Climate Studies Laboratory - LEOC
Federal University of Rio Grande - FURG
Av. Itália, Km 08, Rio Grande - RS, 96203900 Brazil