Comparison of polarimetric SAR observables in terms of classification performance-Reference-Cited by-同舟云学术

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Comparison of polarimetric SAR observables in terms of classification performance

Published:2008-06-14 Issue:14 Volume:29 Page:4129-4150
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Alberga V.¹,Satalino G.²,Staykova D. K.³

Affiliation:

1. a Signal and Image Centre (SIC) – Royal Military Academy (RMA) , Av. de la Renaissance 30, 1000 Brussels, Belgium

2. b Institute of Intelligent Systems for Automation (ISSIA) – National Research Council (CNR) , Via G. Amendola 122/D‐I, 70126 Bari, Italy

3. c Biophysics Group , Dept. of Chemistry – Göteborg University , Medicinaregatan 9C, SE‐413 90 Göteborg, Sweden

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431160701840182

Reference36 articles.

1. A study of land cover classification using polarimetric SAR parameters

2. Alberga , V. Satalino , G. and Staykova , D. K. 2006. “Polarimetric SAR observables for land cover classification: analyses and comparisons.”. Vol. 6363, In Proceedings of SPIE – SAR Image Analysis, Modeling, and Techniques VIII, Stockholm, Sweden, 13–14 September DOI: 636305

3. Multiregion level-set partitioning of synthetic aperture radar images

4. Polarimetric image segmentation via maximum-likelihood approximation and efficient multiphase level-sets

5. Neural Network Approaches Versus Statistical Methods In Classification Of Multisource Remote Sensing Data

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