摘要
成像光谱数据具有较高光谱分辨率,在类别细分方面具有一定的优势。该文针对成像光谱数据特点,研究与成像光谱数据特征相适应的土地利用动态遥感监测技术,包括边缘辐射纠正技术、影像融合技术和异常光谱检测技术,该方法在试验区应用中取得了良好效果。
It is necessary to obtain high accuracy land changing data annually for land resource management,especially for main land use type such as arable land,forest,orchard etc.However,normal multi-spectral remote sensing data can not meet above requirement because of its wide rang of band width.High spectral resolution remote sensing data provides 10-100 channels within 04～25 μm which may solve this problem.This paper provides a practicable method for land-use dynamic change detecting using high spectral resolution remote sensing data,including radiometric distortion correction,image merging method for high spectral resolution remote sensing data and normal high spatial resolution remote sensing data.This paper also provides a land use changing detecting method called anomaly spectral feature detecting which based on the assumption that spectral feature will be anomaly in land use type changing when different temporal remote sensing data is merged.These methods have applied to experiment site successfully.The result shows that high spectral resolution remote sensing data combined with high spatial resolution remote sensing data can improve land use changing accuracy to 90% and the error is less than 10%,which meets the needs of the present land resource management in China.
出处
《地理与地理信息科学》
CSSCI
CSCD
北大核心
2005年第2期35-38,共4页
Geography and Geo-Information Science
基金
国家"863"项目"对地观测技术在国土资源调查中应用"
