摘要
如何将各种不同传感器获得的遥感数据结合起来,通过图像融合来提高图像的信息量,从中挖掘更深层次的信息,以更充分地识别和解译有关专题信息,受到国内外科研工作者的重视,研究了超分辨率贝叶斯方法——PanSharpening方法,该方法利用全波段增强多光谱遥感影像,合并传感器特性模拟了全波段和多波段影像的观测过程。这种方法使全波段数据与多光谱波段数据自动对齐,成功地保留了光谱信息,同时增加了空间分辨率,丰富了地面信息。以IKONOS全波段和多波段影像为例进行了深入的探讨,并对自动融合的结果进行了定性和定量分析。
It is important for the researchers of domestic and abroad to merge the image data getting from various sensors, so as to recognize and interpret the correlative thematic information, to mine more deep information through fusion the image data to improve the image＇s information In this paper,a new super resolution Bayesian method for pansharpening muhispectral images which incorporates sensor characteristics to model the observation process of both panchromatic and the multispectral images. This method automatically aligned the panchromatic and the multi - spectral data, kept the spectrum successfully, enhanced special resolution, and enriched ground - info. Taking IKONOS panchromatic and the multi - spectral images for instance, this paper deeply investigated and qualitatively and quantitatively analyzed the results of fusion.
出处
《测绘与空间地理信息》
2008年第5期73-75,78,共4页
Geomatics & Spatial Information Technology
基金
全国主要城市环境地质调查评价项目(1212010740105)资助
