摘要
针对使用TM图像反射波段信息难以将红树林与陆地植被、尤其是与水体—植被混合像元有效区分的问题,结合不同潮位的TM图像,基于反射波段信息,引入TM6热红外波段信息,提出了温湿度指数(temperature-moisture index,TMI)。分析结果表明,综合潮位信息、热红外波段信息及温湿度指数能显著提高红树林与其他地物之间的可分性。采用光谱角度制图(spectral angle mapping,SAM)监督分类法对红树林进行分类识别,较之其他研究者所采用的分类特征,热红外波段信息及温湿度指数能使红树林分类精度明显提高(Kappa系数提高了0.14,错分率降低了19.9%),说明利用潮位信息、热红外波段信息及温湿度指数可以提高红树林的遥感识别精度。
The identification accuracy of mangrove by using TM reflective bands is always low due to the similarity of spectra between mangrove and land vegetation, especially water - vegetation mixed pixels. Based on reflective and thermal infrared information in the TM images of different tide levels, the authors proposed temperature - moisture index（TMI）. The analytical results show that the thermal infrared band and TM! can obviously improve the separability between mangrove and other objects based on the tide level information. The thermal infrared band and TMI can also significantly increase the classification accuracy of mangrove by using spectral angle mapping （SAM） supervised classification method in comparison with the classification features employed by other researchers. The Kappa coefficient increases by 0.14 , and the commission error of mangrove class decreases by 19.9 %, suggesting that the remote sensing identification accuracy of mangrove can be improved by using the information of tide level, thermal infrared band and TMI.
出处
《国土资源遥感》
CSCD
北大核心
2012年第3期65-70,共6页
Remote Sensing for Land & Resources
基金
国家自然科学基金项目(编号:41201461)
国防科技工业民用科研技术研究项目(编号:2006A100602)
江苏高校优势学科建设工程资助项目共同资助
关键词
红树林
潮位
TM
热红外
温湿度指数
mangrove
tide level
TM
thermal infrared
temperature - moisture index （TMI）
