Application of fuzzy C‐means for understanding water quality in Lake Hachiroko, Japan
Application of fuzzy C‐means for understanding water quality in Lake Hachiroko, Japan
复制标题
应用模糊 C 均值了解日本八郎湖水质
DOI：
10.1002/tee.22312
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发表时间：
2016
影响因子：
1
通讯作者：
Hiroshi Yokoyama
中科院分区：
文献类型：
--
作者：
Y. Kageyama;Asako Izumi;M. Nishida;Hiroshi Yokoyama
本文报道了用模糊c均值聚类法（FCM）对八八子湖水质状况的评价。夏季蓝绿藻的生长显著降低了湖泊的水质。基于8月和9月ALOS AVNIR数据的实验结果，并与模糊回归分析结果进行比较，发现模糊c - means技术可以有效地确定湖泊的水面状况，特别是与蓝绿藻生长有关的情况。©2016日本电气工程师学会。约翰·威利父子出版公司。
This letter reports on the water quality conditions of Lake Hachiroko estimated by fuzzy c‐means clustering (FCM). Growth of blue‐green algae in the summer significantly degrades the water quality of the lake. On the basis of experimental results using ALOS AVNIR data from the months of August and September, and a comparison with results obtained from fuzzy regression analysis, it is found that the fuzzy c‐means technique is effective in determining the water surface conditions of the lake, especially in relation to blue‐green algae growth. © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.