Iceberg detection using Cosmo-SkyMed satellite constellation images

F. Parmiggiani; M. Moctezuma; D. Morales

doi:10.1117/12.836027

29 September 2009 Iceberg detection using Cosmo-SkyMed satellite constellation images

F. Parmiggiani, M. Moctezuma, D. Morales

Proceedings Volume 7477, Image and Signal Processing for Remote Sensing XV; 74771M (2009) https://doi.org/10.1117/12.836027
Event: SPIE Remote Sensing, 2009, Berlin, Germany

Abstract

The new constellation of COSMO -SkyMed (CSK) satellites, which carry on board a SAR-X instrument, offers a unique opportunity for the study of sea ice distribution in polar regions and for the detection of drifting icebergs. To exploit this new class of SAR images, a specific processing scheme, consisting of 4 sequential blocks, was developed. The 4 blocks perform: i) ingestion of the raw image into a commercial software for precise geo-location; ii) extraction from the full scene of image subsets containing iceberg infested areas; iii) speckle filtering; iv) segmentation by different algorithms taken from a "free and open source software" (FOSS) library. The results of the application of this processing scheme to a CSK image of Antarctica containing icebergs are presented and discussed.

Citation Download Citation

F. Parmiggiani, M. Moctezuma, and D. Morales "Iceberg detection using Cosmo-SkyMed satellite constellation images", Proc. SPIE 7477, Image and Signal Processing for Remote Sensing XV, 74771M (29 September 2009); https://doi.org/10.1117/12.836027

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