摘要
详细分析了卫星影像的阴影来源,以遮挡物类型和传感器探测特点为依据对阴影进行了分类和研究。分析了波谱角法检测阴影的技术特点和操作方式,研究了掩膜技术提取阴影的方法,并提出采用分波段线性扩展和滤波的手段去除阴影。通过ETM数据的试验分析,验证了波谱角和掩膜技术可以在去除陆地卫星影像阴影中发挥重要作用。
Shadow is one of the main factors which affect the quality of satellite images.The paper has a deep study on the removal of the shadow in satellite images.First,the paper analyzes the sources of satellite images shadow in detail,classifies the shadows into cloud shadow and terrain shadow by the shielding materials,and classifies the shadows into recorded shadow and blind shadow by the sensor characteristics.Second,the paper analyzes the method and operation of shadow detection by SAM which is a spectral classification based on its own.Third,the paper researches the technical methods of extracting shadows by MASK,an image-copying method of photography,proposes the methods of removing shadow using bands linear expansion and filtering.Finally,the study utilizes an experiment to analyze the effect of SAM and MASK on the Landsat-7 ETM data.The experiment proofs that the SAM and MASK can play a key role of removing the shadow of the Landsat images.
出处
《遥感信息》
CSCD
2010年第5期12-14,20,共4页
Remote Sensing Information
基金
中国地质调查局国土资源大调查项目(编号:1212010785013)
