本文選題：遙感影像 + 瓦片　； 參考：《測繪通報(bào)》2017年09期

【摘要】：對等網(wǎng)絡(luò)技術(shù)的快速發(fā)展,為遙感影像數(shù)據(jù)的高效共享開辟了新的途徑。對等節(jié)點(diǎn)終端間互相進(jìn)行數(shù)據(jù)傳輸?shù)姆绞?有效地降低了數(shù)據(jù)共享對服務(wù)器的依賴程度,極大地提高了數(shù)據(jù)分發(fā)傳輸?shù)男�。由于對等網(wǎng)絡(luò)中各終端可能存儲不同區(qū)域的影像數(shù)據(jù),因此當(dāng)需要共享某個影像數(shù)據(jù)時,選擇從哪些終端傳輸哪些瓦片以提高傳輸效率,是一個需要解決的重要問題。本文研究對等終端間瓦片數(shù)據(jù)集的高效共享途徑,提出了一種基于遺傳算法的瓦片資源選擇方法,可以有效地解決對等網(wǎng)瓦片資源選擇問題。
[Abstract]:The rapid development of Peer-to-Peer Network (P2P) technology has opened a new way for the efficient sharing of remote sensing image data.The data transmission between peer and peer terminals can effectively reduce the dependence of data sharing on server and greatly improve the efficiency of data distribution transmission.Because each terminal in peer-to-peer network may store image data in different regions, when it is necessary to share some image data, it is an important problem to select which terminals to transmit which tiles to improve the transmission efficiency.In this paper, we study the efficient sharing of tile data sets between peer-to-peer terminals, and propose a genetic algorithm based tile resource selection method, which can effectively solve the problem of peer-to-peer tile resource selection.
【作者單位】： 中國科學(xué)院光電研究院中國科學(xué)院定量遙感信息技術(shù)重點(diǎn)實(shí)驗(yàn)室;中國科學(xué)院大學(xué);
【基金】：國家863計(jì)劃(2013AA122904)
【分類號】：TP751
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本文編號：1772458