Multi-temporal RADARSAT-2 polarimetric SAR data for urban land-cover classification using an object-based support vector machine and a rule-based approach-Reference-Cited by-同舟云学术

Multi-temporal RADARSAT-2 polarimetric SAR data for urban land-cover classification using an object-based support vector machine and a rule-based approach

Published:2012-09-10 Issue:1 Volume:34 Page:1-26
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Niu Xin¹,Ban Yifang¹

Affiliation:

1. a Division of Geodesy and Geoinformatics , KTH Royal Institute of Technology , Stockholm , Sweden

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2012.700133

Reference48 articles.

1. Agresti , A. 1996 .An Introduction to Categorical Data Analysis, 312 New York : Wiley .

2. Polarimetric SAR characterization of man-made structures in urban areas using normalized circular-pol correlation coefficients

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

4. Comparison of polarimetric SAR observables in terms of classification performance

5. Baatz , M. and Schäpe , A. 2000 . Multiresolution Segmentation – An Optimization Approach for High Quality Multi-Scale Image Segmentation.” . Angewandte Geographische Informationsverarbeitung XII, Beiträge Zum AGIT-Symposium Salzburg . June 30 2000 , Salzburg . Edited by: Strobl , J. , Blaschke , T. and Griesebner , G. pp. 12 – 23 . Heidelberg : Wichmann Verlag .

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