World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Comparison of Automatic Segmentation of Full Polarimetric Sar Sea Ice Images with Manually Drawn Ice Charts : Volume 7, Issue 3 (13/06/2013)

By Moen, M.-a. N.

Click here to view

Book Id: WPLBN0004022854
Format Type: PDF Article :
File Size: Pages 40
Reproduction Date: 2015

Title: Comparison of Automatic Segmentation of Full Polarimetric Sar Sea Ice Images with Manually Drawn Ice Charts : Volume 7, Issue 3 (13/06/2013)  
Author: Moen, M.-a. N.
Volume: Vol. 7, Issue 3
Language: English
Subject: Science, Cryosphere, Discussions
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Historic
Publication Date:
2013
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Gerland, S., Anfinsen, S. N., Doulgeris, A. P., Hughes, N., Moen, M. N., Eltoft, T., & H. Renne, A. H. (2013). Comparison of Automatic Segmentation of Full Polarimetric Sar Sea Ice Images with Manually Drawn Ice Charts : Volume 7, Issue 3 (13/06/2013). Retrieved from http://nook-library.net/


Description
Description: Department of Physics and Technology, University of TromsØ, 9037 TromsØ, Norway. In this paper we investigate the performance of an algorithm for automatic segmentation of full polarimetric, synthetic aperture radar (SAR) sea ice scenes. The algorithm uses statistical and polarimetric properties of the backscattered radar signals to segment the SAR image into a specified number of classes. This number was determined in advance from visual inspection of the SAR image and by available in-situ measurements. The segmentation result was then compared to ice charts drawn by ice service analysts. The comparison revealed big discrepancies between the charts of the analysts, and between the manual and the automatic segmentations. In the succeeding analysis, the automatic segmentation chart was labeled into ice types by sea ice experts, and the SAR features used in the segmentation were interpreted in terms of physical sea ice properties.

Studies of automatic and robust estimation of the number of ice classes in SAR sea ice scenes will be highly relevant for future work.


Summary
Comparison of automatic segmentation of full polarimetric SAR sea ice images with manually drawn ice charts

Excerpt
Samadani,~R.: A~finite mixtures algorithm for finding proportions in SAR images, IEEE~T. Image Process., 4, 1182–1186, 1995.; Bogdanov,~A V., Sandven,~S., Johannessen,~O M., Alexandrov,~V Y., and Bobylev,~L P.: Multisensor approach to automated classification of sea ice image data, IEEE~T. Geosci. Remote, % 43, 1648–1663, 2005.; Breivik,~L.-A., Eastwood,~S., Karvonen,~J., Dinessen,~F., Fleming,~A., Hamre,~T., Pedersen,~L T., Saldo,~R., and Buus-Hinkler,~J.: Quality information document for OSI TAC sea ice products 011-001, -002, -003, -004, -006, -007, -009, -010, -011, -012, Technical report MYO2-OSI-QUID-011-ALL, version 1.3, available at: http://catalogue.myocean.eu.org/static/resources/myocean/quid/MYO2-OSI-QUID-011-ALL-V1.3.pdf, Oslo, 2012.; Charbonneau,~F., Brisco,~B., Raney,~R K., McNairn,~H., Liu,~C., Vachon,~P., Shang,~J., DeAbreu,~R., Champagne,~C., Merzouki,~A., and Geldsetzer,~T.: Compact polarimetry overiew and applications assessment, Can J. Remote Sens. (Suppl.), 36, S298–S315, 2010.; Clausi,~D A., Qin,~A K., Chowdhury,~M S., Yu,~P., and Maillard,~P.: MAGIC: MAp-Guided Ice Classification system, Can J. Remote Sens. (Suppl.), 36, S13–S25, 2010.; Clausi,~D A. and Deng,~H.: Operational Segmentation and Classification of SAR Sea Ice Imagery, IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 268–275, 2004.; Deng,~H. and Clausi,~D A.: Unsupervised segmentation of synthetic apterture radar sea ice imagery using a~novel markov random field model, IEEE~T. Geosci. Remote, % 43, 528–538, 2005.; Dierking,~W., Skriver,~H., and Gudmandsen,~P.: SAR Polarimetry for Sea Ice Classification, in: Proc. PolinSAR 2003, 109–118, 2003.; Doulgeris,~A. and Eltoft,~T.: Scale Mixture of Gaussian modelling of polarimetric SAR data, EURASIP~J. Adv. Sig. Pr., %EURASIP~J. Adv. Signal Processing, 2010, 1–12, \doi10.1155/2010/874592, 2010.; Drinkwater,~M R., Kwok,~R., Rignot,~E., Israelsson,~H., Onstott,~R G., and Winebrenner,~D P.: Potential applications of polarimetry to the classification of sea ice, in: Microwave Remote Sensing of Sea Ice, no 68 in Geophysical Monograph, edited by: Carsey,~F D., AGU, 419–430, 1992.; Geldsetzer,~T. and Yackel,~J J.: Sea ice type and open water discrimination using dual co-polarized C-band SAR, Can J. Remote Sens., 35, 73–84, 2009.; Gill,~J. and Yackel,~J.: Evaluation of C-band SAR polarimetric parameters for discriminating of first-year sea ice types, Can J. Remote Sens., 38, 306–323, 2012.; Haas,~C., Lobach,~J., Hendricks,~S., Rabenstein,~L., and Pfaffling,~A.: Helicopterborne measurements of sea ice thickness, using a~small and lightweight, digital em system,~J. Appl. Geophys., 67, 234–241, 2009.; Hara,~Y., Atkins,~R G., Shin,~R T., Kong,~J A., Yueh,~S H., and Kwok,~R.: Application of neural networks for sea ice classification in polarimetric SAR images, IEEE~T. Geosci. Remote, % 33, 740–748, 1995.; Hartigan,~J A.: Clustering Algorithms, Wiley, New York, 1975.; Karvonen,~J.: C-band sea ice SAR classification based on segmentwise edge features, in: Geoscience and Remote Sensing New Achievements, edited by: Imperatore,~P. and Riccio,~D., InTech, available at: http://www.intechopen.com/books/geoscience-and-remotesensing-new-achievements/c-band-sea-ice-sar-classification-based-on-segmentwise-edge-featureshttp://www.intechopen.com/books/geoscience-and-remotesensing-new- http://www.intechopen.com/books/geoscience-and-remotesensing-new-achievements/c-band-sea-ice-sar-classification-based-on-segmentwise-edge-featuresachievements/c-band-sea-ice-sar-classification-based-on-segmentwise-edge-features, 2010.; Karvonen,~J A.: Baltic sea ice SAR segmentation and classification using modified pulse-coupled neural networks, IEEE~T. Geosci. Remote, % 42, 1566–1574, 2004.; Kwok,~R., Rignot,~E., and Holt,~B.: Identification of sea ice types in spaceborne Synthetic Aperture Radar data,~J. Geophys. Res, 97, 2391–2402, 1992.; Kwok,~R., Cunningham,~G F., Wensnahan,~M., Rigor,~I., Zwally,~H J., and Yi,~

 

Click To View

Additional Books


  • Simulating the Growth of Supra-glacial L... (by )
  • Permafrost and Surface Energy Balance of... (by )
  • Quantifying the Jakobshavn Effect: Jakob... (by )
  • Comparison of Glaciological and Volumetr... (by )
  • Monitoring Ice Break-up on the MacKenzie... (by )
  • Record Mass Loss from Greenland's Best-o... (by )
  • Ikaite Crystal Distribution in Arctic Wi... (by )
  • Feedbacks and Mechanisms Affecting the G... (by )
  • A High-resolution Bedrock Map for the An... (by )
  • Wintertime Storage of Water in Buried Su... (by )
  • Modelling the 20Th and 21St Century Evol... (by )
  • Freshwater Flux to Sermilik Fjord, SE Gr... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from Nook eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.