本文選題：高分?jǐn)?shù)據(jù)　切入點(diǎn)：RasterCatalog　出處：《國土資源遙感》2017年04期 　論文類型：期刊論文

【摘要】：高分一號衛(wèi)星自2013年4月26日發(fā)射至今,已獲取了大量的數(shù)據(jù),數(shù)據(jù)量已達(dá)到了TB級,而且還在持續(xù)增長�；诟叻�?jǐn)?shù)據(jù)的有效管理、檢索和展示的需求,對海量數(shù)據(jù)存儲模型和影響圖像瀏覽速度的因素進(jìn)行分析。通過實(shí)驗(yàn)驗(yàn)證,采用壓縮質(zhì)量為50%的JPEG壓縮和雙線性插值法構(gòu)建影像金字塔,以64×64切片大小進(jìn)行數(shù)據(jù)存儲,并通過構(gòu)建GDB Raster Catalog Layer,能夠?qū)崿F(xiàn)海量遙感數(shù)據(jù)的存儲與快速瀏覽展示,滿足高分系列衛(wèi)星在行業(yè)應(yīng)用中數(shù)據(jù)管理與顯示需求。
[Abstract]:Since its launch in April 26th 2013, the Gaofone satellite has acquired a large amount of data, which has reached the TB level and is still growing. Based on the demand for effective management, retrieval and display of high score data, The storage model of mass data and the factors affecting the speed of image browsing are analyzed. The experimental results show that the image pyramid is constructed by JPEG compression and bilinear interpolation with compression quality of 50%, and the size of 64 脳 64 slices is used for data storage. Through the construction of GDB Raster Catalog layer, it can store and quickly browse and display the massive remote sensing data, and meet the demand of data management and display in the application of high score series satellites in the industry.
【作者單位】： 中國國土資源航空物探遙感中心;北京吉威數(shù)源信息技術(shù)有限公司;
【基金】：中國國土資源航空物探遙感中心項(xiàng)目“高分基礎(chǔ)數(shù)據(jù)支撐分系統(tǒng)建設(shè)”(編號:201330106)和“資源一號02C衛(wèi)星應(yīng)用系統(tǒng)(地礦)影像產(chǎn)品數(shù)據(jù)整合建庫及管理”(編號:201530605)共同資助
【分類號】：TP79

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