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作 者:汪承平 何孟琦 王建雄 WANG Cheng-ping;HE Meng-qi;WANG Jian-xiong(Research Center of Agricultural Remote Sensing and Precision Agriculture Engineering in Yunnan Universities,College of Water Conservancy,Yunnan Agricultural University,Kunming 650201,China)
机构地区:[1]云南农业大学水利学院云南省高校农业遥感与精准农业工程研究中心,昆明650201
出 处:《中国农村水利水电》2022年第8期23-28,34,共7页China Rural Water and Hydropower
基 金:国家自然科学基金项目(41867040)。
摘 要:对徐涵秋提出的改进归一化差异水体指数(MNDWI)进一步研究,提出改进富营养化水体指数(MEWI),并应用该指数在不同水体影像进行实验验证,实验结果表明MEWI指数不仅对超绿的含藻富营养化水体边界提取效果极佳,其总体提取精度达89.5%,优于NDWI(85.5%)、ESWI(87.5%)、NEWI(87%)水体指数的总体精度,且MEWI指数对于水体与非水体阴影区分度达0.38,优于NDWI(0.14)、ESWI(0.16)、NEWI(0.10)水体指数的区分度。NDWI、ESWI、NEWI等水体指数因无法剔除含藻富营养化水体的干扰,混有建筑等信息使得其提取精度降低,实验发现MEWI指数对比其他指数受泥沙因素影响较小,对于汛期水体监测很有帮助。目前对于这类超绿富营养化水体信息提取研究大多只是针对提取水体本身,而忽略了剔除其对整体水域提取的影响,MEWI指数的提出能有效解决这一问题。The improved normalized difference water body index(MNDWI)proposed by Xu Hanqiu is further studied,and the improved eu‐trophic water body index(MEWI)is proposed.The experimental results show that the MEWI index has not only excellent extraction effect on the boundary of ultra green algae eutrophic water body but also an overall extraction accuracy of 89.5%,which is better than NDWI(85.5%),ESWI(87.5%)and NEWI(87%)the overall accuracy of the water body index,and the MEWI index for the shadow distinction between water body and non water body is 0.38,which is better than NDWI(0.14),ESWI(0.16)and NEWI(0.10)Discrimination of water body in‐dex.NDWI,ESWI,NEWI and other water body indexes cannot eliminate the interference of algae containing eutrophic water body,and their extraction accuracy is reduced due to the mixing of building and other information.The experiment shows that MEWI index is less affected by sediment factors than other indexes,which is very helpful to water body monitoring in the flood season.At present,most of the research on the information extraction of this kind of ultra green eutrophic water body is only aimed at extracting the water body itself,ignoring its impact on the extraction of the overall water area.The proposal of MEWI index can effectively solve this problem.
分 类 号:TV211[水利工程—水文学及水资源] TP79[自动化与计算机技术—检测技术与自动化装置]
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