摘要
提出了一种判别两类地物分类效果的依据———显著性度量,并采用植被指数的形式,给出了应用高光谱图像进行水陆识别的方法。以滩涂为例进行水陆识别实验,结果表明,基于显著性度量遴选得到的最佳植被指数类型及其最佳波段组合,适合于解决以高光谱图像为数据源的水陆识别问题。
In this paper, the significance measure Δ_η is used as the criterion for the classification effect of two kinds of ground objects, and the vegetation index-based method for water and land recognition using hyperspectral images is proposed. The water and land recognition experiment is made by taking the tidal flat area as an example. It is shown from the experimental results that the optimal vegetion index type and its optimal band combination can be selected based on the significance measure Δ_η, and this method is applicable to the water and land recognition using hyperspectral image data.
出处
《海洋科学进展》
CAS
CSCD
北大核心
2005年第1期76-81,共6页
Advances in Marine Science
基金
国家高技术研究发展计划项目--航空遥感多传感器集成与应用技术系统(2001AA633080)
渤海海洋生态环境海空准实时综合监测示范系统(2001AA634030)
关键词
植被指数
水陆识别
高光谱图像
显著性度量
vegetation index
water and land recognition
hyperspectral image
significance measure
