Applying support vector regression to water quality modelling by remote sensing data-Reference-Cited by-同舟云学术

Applying support vector regression to water quality modelling by remote sensing data

Published:2011-08-10 Issue:23 Volume:32 Page:8615-8627
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Wang Xili¹,Fu Li²,He Chansheng²

Affiliation:

1. a School of Computer Science, Shaanxi Normal University , Xi'an , 710062 , China

2. b Department of Geography , Western Michigan University , Kalamazoo , MI , 49008-5424 , USA

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2010.543183

Reference23 articles.

1. Modeling inland water quality using Landsat data

2. Chang, C.C. and Lin, C.J., 2006, LIBSVM: a library for support vector machines. http://www.csie.ntu.edu.tw/~cjlin/libsvm/index.html (http://www.csie.ntu.edu.tw/~cjlin/libsvm/index.html) (Accessed: 1 October 2006).

3. Remotely sensed assessment of water quality levels in the Pearl River Estuary, China

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