首页> 中文期刊> 《中南林业科技大学学报》 >SPOT-5遥感影像自身融合在马尾松毛虫害信息提取中的应用

SPOT-5遥感影像自身融合在马尾松毛虫害信息提取中的应用

         

摘要

With the development of remote sensing monitoring forest diseases and insects, the application of SPOT-5 data were extensive used for its advantages. Shaxian County of Fujian Province was chosen as study area in this paper. By adopting the principles of image fusion methods, taking the multi-spectral images of SPOT-5 as data sources,and applying the commonly-used fusion methods such as IHS transformation, PCA resolution, Brovey transformation, multiplicative and HPF resolution, the Dendrolimus punctatus damages were analyzed and evaluated from the angles of enhancing spatial resolution and maintaining original image's spectral information and obtaining damages information. The results show that of the five fusion methods, HPF resolution had the best quality both in the spectral quality and the spatial quality.%以福建沙县作为研究区,在阐述遥感图像融合原理的基础上,以SPOT-5全色与多光谱影像为数据源,应用IHS变换、PcA融合、Brovey变换、乘积变换和HPF融合等5种比较常用的融合方法,从提高空间分辨率和保持原始图像光谱信息及虫害信息提取的角度进行了分析评价,探讨最适合于利用SPOT-5图像进行马尾松毛虫害信息提取的融合方法.研究结果表明:各种融合方法中,HPF融合方法效果最好.

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