CAJ | 학술논문

随着遥感技术的发展,遥感数据的种类不断增加,遥感影像分辨率不断提高,遥感数据的量级呈现不断增加的趋势,大数据时代的遥感数据存储和处理都面临着严峻的挑战,传统的数据存储和处理已不能满足遥感数据管理的需求.以数字地球项目为背景,为有效地管理项目中的海量遥感数据,首先对遥感数据物理存储结构进行设计,从底层数据存储层对数据结构和编码方式进行了规划;其次为了提高数据的检索效率,在现有四叉树索引的技术上,提出了一种基于二叉树的最小包围盒索引结构,相比于其他索引结构具有设计简单、树结构平衡、检索效率高的特点.实验结果表明,提出的数据存储结构和索引结构可以满足数据入库、索引构建和数据查询的要求,适合于支持海量遥感数据的存储和管理.
수착요감기술적발전,요감수거적충류불단증가,요감영상분변솔불단제고,요감수거적량급정현불단증가적추세,대수거시대적요감수거존저화처리도면림착엄준적도전,전통적수거존저화처리이불능만족요감수거관리적수구.이수자지구항목위배경,위유효지관리항목중적해량요감수거,수선대요감수거물리존저결구진행설계,종저층수거존저층대수거결구화편마방식진행료규화;기차위료제고수거적검색효솔,재현유사차수색인적기술상,제출료일충기우이차수적최소포위합색인결구,상비우기타색인결구구유설계간단、수결구평형、검색효솔고적특점.실험결과표명,제출적수거존저결구화색인결구가이만족수거입고、색인구건화수거사순적요구,괄합우지지해량요감수거적존저화관리.
With the development of remote sensing technology,there is a remarkable increase in the kind of remote sensing data and reso-lution of remote sensing image data,the traditional data storage and processing cannot meet the requirements of remote data management, which is a challenge for the traditional remote sensing data management mode. Based on digital earth project,in order to manage the mas-sive remote sensing data effectively,firstly introduce a physical storage structure and design the data structure and coding mode. With the purpose to improve query efficiency,propose a index based on binary tree and minimum bounding box,which is more simple,better bal-anced,more effective than the other index. The experimental results illustrate the proposed data storage structure and index is suitable for managing massive remote sensing data,which can meet the requirements of data input,index building and data query.