CAJ | 학술논문

气象卫星所携带的多种传感器可以获得可见光、红外、多光谱等多模态的卫星图像，目前处理这些多模态图像的一个重要手段是数据融合分析方法，而获取不同模态图像空间对应关系的图像配准是数据融合分析的前提和基础。针对多模态气象卫星图像的配准问题，重点研究红外图像和可见光图像的配准问题，并根据红外图像和可见光图像的特点，提出了一种由粗到精的两阶段配准方法。在粗配准阶段，将Fourier-M ellin变换应用于红外和可见光图像的边缘图像上，并通过变换图像在频域的关系实现了图像配准仿射变换参数的快速计算；在精配准阶段，基于图像的 Harris算子检测红外图像和可见光图像的特征点，并通过特征点局部区域的互相关函数实现特征点的匹配，最终通过匹配特征点求得精确配准的变换参数。文章提出的由粗到精的图像配准方法，有效结合了Fourier-Mellin变换对边缘图像配准的高效性和 Harris算子图像配准的准确性，是红外和可见光图像配准的一种新方法。利用FY-2D气象卫星获取的红外和可见光图像进行了配准实验，实验结果表明所提出的方法具有良好的鲁棒性和较高的配准精度。
기상위성소휴대적다충전감기가이획득가견광、홍외、다광보등다모태적위성도상，목전처리저사다모태도상적일개중요수단시수거융합분석방법，이획취불동모태도상공간대응관계적도상배준시수거융합분석적전제화기출。침대다모태기상위성도상적배준문제，중점연구홍외도상화가견광도상적배준문제，병근거홍외도상화가견광도상적특점，제출료일충유조도정적량계단배준방법。재조배준계단，장Fourier-M ellin변환응용우홍외화가견광도상적변연도상상，병통과변환도상재빈역적관계실현료도상배준방사변환삼수적쾌속계산；재정배준계단，기우도상적 Harris산자검측홍외도상화가견광도상적특정점，병통과특정점국부구역적호상관함수실현특정점적필배，최종통과필배특정점구득정학배준적변환삼수。문장제출적유조도정적도상배준방법，유효결합료Fourier-Mellin변환대변연도상배준적고효성화 Harris산자도상배준적준학성，시홍외화가견광도상배준적일충신방법。이용FY-2D기상위성획취적홍외화가견광도상진행료배준실험，실험결과표명소제출적방법구유량호적로봉성화교고적배준정도。
In the present paper ,in order to resolve the registration of the multi-mode satellite images with different signal prop-erties and features ,a two-phase coarse-to-fine registration method is presented and is applied to the registration of satellite infra-red images and visual images .In the coarse registration phase of this method ,the edge of infrared and visual images is firstly de-tected .Then the Fourier-Mellin transform is adopted to process the edge images .Finally ,the affine transformation parameters of the registration are computed rapidly by the transformation relation between the registering images in frequency domain .In the fine registration phase of the proposed method ,the feature points of infrared and visual images are firstly detected by Harris operator .Then the matched feature points of infrared and visual images are determined by the cross-correlation similarity of their local neighborhoods .The fine registration is finally realized according to the spatial correspondent relation of the matched feature points in infrared and visual images .The proposed coarse-to-fine registration method derives both the advantages of two meth-ods ,the high efficiency of Fourier-Mellin transform based registration method and the accuracy of Harris operator based registra-tion method ,which is considered the novelty and merit of the proposed method .To evaluate the performance of the proposed registration method ,the coarse-to-fine registration method is implemented on the infrared and visual images captured by the FY-2D meteorological satellite .The experimental results show that the presented registration method is robust and has acceptable registration accuracy .