摘要
以广西天峨县龙滩电站淹没区及周边区域为研究对象,应用IHS变换、主成分变换和Brovey变换等3种影像融合方法对Quickbird多光谱和全色遥感影像进行融合,并利用目视评价和偏差指数等指标对融合效果进行定量评价;利用融合后的高分辨率影像对研究对象的遥感调查进行了处理和研究。结果表明:主成分变换法的融合效果最佳;用材林、经济林和水田分别占被淹没土地总面积的40.53%、18.35%和18.50%,是主要土地类型。
In the researches in flood region and around area of Longtan Electricity Station, Tian＇ e county, Guangxi province, IHS, PCA and Brovey and 3 kinds of image merging ways were used to merge QuiekBird multi-spectrum and panchromatic remote sensing image. Their merging effects are evaluated quantifiably by visual valuation and warp index. The merged image with high distinguish was used to investigate the land use in Tian＇ e county in 2005. It is indicated that merging effect of PCA is optirmum . As for 3 kinds of main land use types, wood forest, economic forest and paddy field account for 40.53% ,18.35% and 18.50% of the total land area respectively.
出处
《安徽农业科学》
CAS
北大核心
2007年第10期3001-3002,3004,共3页
Journal of Anhui Agricultural Sciences
