IEEE - Institute of Electrical and Electronics Engineers, Inc. - Comparison of artificial neural network and support vector machine methods for urban land use/cover classifications from remote sensing images A Case Study of Guangzhou, South China

2010 International Conference on Computer Application and System Modeling (ICCASM 2010)

Author(s): Yongzhu Xiong ; Zhengdong Zhang ; Feng Chen
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 October 2010
Conference Location: Taiyuan, China, China
Conference Date: 22 October 2010
Volume: 13
ISBN (Electronic): 978-1-4244-7237-6
ISBN (Paper): 978-1-4244-7235-2
DOI: 10.1109/ICCASM.2010.5622651
Regular:

Accurate land use/cover (LUC) classifications from satellite imagery are very important for eco-environment monitoring, land use planning and climatic change detection. Traditional statistical... View More

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