CAJ | 학술논문

针对像素级遥感图像融合处理数据量大、实时性差，融合结果不能直观表述目标特征的问题，提出一种边缘特征加强的多光谱与全色图像快速融合方法。为提高算法的运行速度，采用提升小波与快速IHS变换相结合的算法生成像素级融合图像。同时，利用数学形态学方法提取全色图像的边缘，与像素级融合图像进行再次融合，加强了最终融合图像的边缘信息。实验结果表明，该算法不仅融合效果好，而且实时性强。
침대상소급요감도상융합처리수거량대、실시성차，융합결과불능직관표술목표특정적문제，제출일충변연특정가강적다광보여전색도상쾌속융합방법。위제고산법적운행속도，채용제승소파여쾌속IHS변환상결합적산법생성상소급융합도상。동시，이용수학형태학방법제취전색도상적변연，여상소급융합도상진행재차융합，가강료최종융합도상적변연신식。실험결과표명，해산법불부융합효과호，이차실시성강。
Considering that the process of pixel-level remote sensing fusion with large amount of data has poor real-time performance and the fusion result can not describe target feature intuitively,we proposed a fast fusion method for panchromatic and multi-spectral images with enhanced edge feature .In order to improve the running speed,a pixel-level fusion was generated by the algorithm combining lifting wavelet transform with fast IHS transform .Meanwhile,the edges of panchromatic images were extracted by mathematic morphology,which were then fused again with the pixel-level fusion image to generate the final fusion image with enhanced edge information .The experimental result indicates that the proposed algorithm can not only obtain a good fusion result,but also has a well real-time performance .