A Multiple Classifier System to improve mapping complex land covers: a case study of wetland classification using SAR data in Newfoundland, Canada-Reference-Cited by-同舟云学术

A Multiple Classifier System to improve mapping complex land covers: a case study of wetland classification using SAR data in Newfoundland, Canada

Published:2018-04-26 Issue:21 Volume:39 Page:7370-7383
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Amani Meisam¹²,Salehi Bahram¹²,Mahdavi Sahel¹²,Brisco Brian³,Shehata Mohamed²

Affiliation:

1. C-CORE, St John’s, NL, Canada

2. Department of Electrical and Computer Engineering, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St John’s, NL, Canada

3. The Canada Center for Mapping and Earth Observation, Ottawa, ON, Canada

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1468117

Reference21 articles.

1. Wetland classification in Newfoundland and Labrador using multi-source SAR and optical data integration

2. Wetland Classification Using Multi-Source and Multi-Temporal Optical Remote Sensing Data in Newfoundland and Labrador, Canada

3. Multiple classifiers applied to multisource remote sensing data

4. A classifier ensemble based on fusion of support vector machines for classifying hyperspectral data

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