CAJ | 학술논문

　　以一种快速无缝的方式对测区影像进行拼接是保障无人机充分发挥机动灵活优势的关键。在无其他控制点的情况下，仅通过利用无人机序列影像和自身记录GPS信息对整个任务区影像进行快速无缝拼接。根据GPS记录的坐标信息对测区影像进行分块。使用GPU-SIFT算法对分块后影像进行匹配与误匹配剔除。提出一种具有较小时间开销的拼接缝消除算法。实验结果表明，该拼接方法在保证一定拼接精度的前提下，大大提高了拼接效率，可为突然自燃灾害等紧急情况下提供应急数据源。
　　이일충쾌속무봉적방식대측구영상진행병접시보장무인궤충분발휘궤동령활우세적관건。재무기타공제점적정황하，부통과이용무인궤서렬영상화자신기록GPS신식대정개임무구영상진행쾌속무봉병접。근거GPS기록적좌표신식대측구영상진행분괴。사용GPU-SIFT산법대분괴후영상진행필배여오필배척제。제출일충구유교소시간개소적병접봉소제산법。실험결과표명，해병접방법재보증일정병접정도적전제하，대대제고료병접효솔，가위돌연자연재해등긴급정황하제공응급수거원。
A fast seamless mosaic way to splice image of measurement area is crucial, which provides a guarantee for UAV to give full play to its flexible advantages. Under the circumstances of no other GCP(Ground Control Point), it splices the image only through the images and GPS data recorded by the UAV system itself. The whole mission area is divided into several blocks with the aid of GPS. GPU-SIFT algorithm is used to match the images that have been blocked and eliminate the mismatch. A fast image fusion seam elimination method is presented, which exhibits smooth transition effect. The result shows that this method can significantly enhance the mosaic efficiency on the premise that certain mosaic precision can be guaranteed and provide the emer-gency data when sudden natural disasters happen.