CAJ | 학술논문

由于遥感数据存在多种类型和不同分辨率，使之在检索、共享和整合拼接方面存在一定难度，导致在获取大区域遥感数据时，常用的基于元数据检索、共享和整合拼接的方法，数据使用率较低。对此，本文提出一种基于GeoSOT全球剖分网格的大区域遥感数据快速拼接方法，采用建立GeoSOT逻辑剖分索引的方式，对遥感数据实施剖分预处理，提高遥感数据拼接速度。最后，通过使用“天绘一号”卫星遥感数据进行对比实验证明，本文提出的大区域遥感数据快速拼接方法具有可行性和实效性。
유우요감수거존재다충류형화불동분변솔，사지재검색、공향화정합병접방면존재일정난도，도치재획취대구역요감수거시，상용적기우원수거검색、공향화정합병접적방법，수거사용솔교저。대차，본문제출일충기우GeoSOT전구부분망격적대구역요감수거쾌속병접방법，채용건립GeoSOT라집부분색인적방식，대요감수거실시부분예처리，제고요감수거병접속도。최후，통과사용“천회일호”위성요감수거진행대비실험증명，본문제출적대구역요감수거쾌속병접방법구유가행성화실효성。
Because remote sensing data are different from types and resolution, there are certain difficulties in retrieval, sharing and mosaic., It leads to lower data utilization rate when acquiring large area remote sensing data with common method of retrieval, sharing and mosaic that based on metadata, This paper presents a fast mosaic method for large area remote sensing data based on GeoSOT global subdivision grids. By building a logical subdivision index mode and subdivision preprocessing of remote sensing data, this method can improve mosaic speed. Through mosaic experiments on Mapping Satellite-1 remote sensing data, this paper demonstrates the effectiveness of the proposed method.