One-class remote sensing classification: one-class vs. binary classifiers-Reference-Cited by-同舟云学术

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One-class remote sensing classification: one-class vs. binary classifiers

Published:2018-01-03 Issue:6 Volume:39 Page:1890-1910
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Deng Xueqing¹²,Li Wenkai¹,Liu Xiaoping¹^ORCID,Guo Qinghua³,Newsam Shawn²

Affiliation:

1. Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-Sen University, Guangzhou, China

2. Electrical Engineering & Computer Science, University of California at Merced, Merced, CA, USA

3. State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2017.1416697

Reference42 articles.

1. Single-Species Detection With Airborne Imaging Spectroscopy Data: A Comparison of Support Vector Techniques

2. Multispectral classification of Landsat-images using neural networks

3. The relative value of labeled and unlabeled samples in pattern recognition with an unknown mixing parameter

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