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机构地区:[1]辽宁科技大学土木与交通工程学院,辽宁鞍山114044 [2]辽宁工程技术大学测绘与地理科学学院,辽宁阜新123000
出 处:《辽宁工程技术大学学报(自然科学版)》2008年第3期350-352,共3页Journal of Liaoning Technical University (Natural Science)
基 金:辽宁省教育厅高校科研基金资助项目(2021901058B)
摘 要:为了解决遥感影像空间分辨率与光谱信息不能兼顾的问题,即全色影像具有较高的空间分辨率但缺乏光谱信息,多光谱影像光谱分辨率高,光谱信息丰富,但其空间分辨率低的问题,采用MATLAB实验工具,基于IHS原理对遥感影像数据进行融合处理,试验结果表明使用该融合方法显著提高了多光谱影像的空间分辨率,同时保留了丰富的光谱特征,提高影像的判读、识别、分类能力,融合后图像的信息量比原始图像有明显增加,而且图像的细节反差、纹理和清晰度得到较大的提高,融合图像质量明显改善。A fusion processing of remote sensing image data is carried out based on IHS principle, by using MATLAB experiment tool, in order to resolve the problem which can not give consideration to both the spatial resolution and spectral information in remote sensing, that is, the panchromatic images are provided with a high spatial resolution but lack of the spectral information, and meanwhile the spectral resolution of multi-spectral imaging is high and the information is rich, but its spatial resolution is low. The experiment result shows that the spatial resolution of multi-spectral images is significantly enhanced and the rich spectrum characteristics is also reserved so that the capabilities in interpretation, recognition, classification and so on ale improved, too. The information quantity of fused images is increased distinctly compared with the original images, and the detail contrast, texture and definition of images are greatly improved so the fused image quality is significantly improved.
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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