A comparison of multiple classifier combinations using different voting-weights for remote sensing image classification-Reference-Cited by-同舟云学术

A comparison of multiple classifier combinations using different voting-weights for remote sensing image classification

Published:2018-03-08 Issue:11 Volume:39 Page:3705-3722
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Shen Huaifei¹²,Lin Yinghao¹,Tian Qingjiu¹,Xu Kaijian¹,Jiao Junnan¹

Affiliation:

1. Collaborative Innovation Centre of South China Sea Studies, International Institute for Earth System Science, School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, China

2. School of Urban & Rural Planning and Landscape Architecture, Xuchang University, Xuchang, China

Funder

National Natural Science Foundation of China

High-resolution Earth Observation Project of China

National Key R&D Program of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2018.1446566

Reference51 articles.

1. A Biogeophysical Approach for Automated SWIR Unmixing of Soils and Vegetation

2. Introduction Neural networks in remote sensing

3. Improved Subspace Classification Method for Multispectral Remote Sensing Image Classification

4. Toward an Optimal SVM Classification System for Hyperspectral Remote Sensing Images

5. Multiple Classifier Systems in Remote Sensing: From Basics to Recent Developments

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