CAJ | 학술논문

针对现有遥感影像缺乏精细化云量描述手段的问题，提出了一种基于GeoSOT网格的遥感影像云量信息精细描述模型。模型建立了遥感影像与GeoSOT网格空间上的映射关系，通过记录每个网格内的影像是否含云，在一定精度上描述云在空间上的分布情况和云量的大小。试验结果表明：该模型能够精细地描述遥感影像云量信息，可实现对影像区域的云量高效检索，提高有云影像使用的效率和影像的可用性。
침대현유요감영상결핍정세화운량묘술수단적문제，제출료일충기우GeoSOT망격적요감영상운량신식정세묘술모형。모형건립료요감영상여GeoSOT망격공간상적영사관계，통과기록매개망격내적영상시부함운，재일정정도상묘술운재공간상적분포정황화운량적대소。시험결과표명：해모형능구정세지묘술요감영상운량신식，가실현대영상구역적운량고효검색，제고유운영상사용적효솔화영상적가용성。
A model of remote sensing image cloud-cover fine description based on global subdivsion grid was proposed, which is able to cope with the problem of lacking fine description of remote sensing image cloud-cover. This model established a geospatial mapping between remote sensing image and GeoSOT grid. By recording each grid whether or not containing clouds, to describe the cloud-cover on the geospatial distribution. Experimental results show that this model can finely describe cloud-cover on the remote sensing image, achieve efficient retrieval of cloud-cover information, and improved efficiency and availability of cloud images usage.