海量五层十五级瓦片移动端快速加载算法研究  被引量:2

Research on the Rapid Loading Algorithm for Massive Five Class Fifteen Level Tiles on Mobile Terminal

在线阅读下载全文

作  者:徐鹏[1,2] 赵亚萌[2] 苏焕焕[1,2] 王栋[2] 

机构地区:[1]河南大学空间信息处理实验室,河南开封475004 [2]中国科学院遥感与数字地球研究所,北京100101

出  处:《地理空间信息》2017年第5期29-31,41,共4页Geospatial Information

基  金:高分重大专项资助项目(Y4D00100GF;Y4D0100038);中科院战略先导专项资助项目(Y1Y02230XD)

摘  要:针对传统四叉树加载方法在海量五层十五级遥感瓦片数据移动端加载展示过程中出现的内存溢出和卡顿问题,设计了新型五层十五级瓦片移动端快速加载算法,以实现按需动态计算待加载瓦片范围,循环加载展示;并采用缓存策略和延后删除策略保证了展示效果。实验结果表明,该算法显著提高了五层十五级瓦片在移动端的加载速度,增强了展示的流畅性,内存消耗量明显下降并保持稳定。When the massive Five Class Fifteen Level remote sensing data displayed on the mobile terminal by the traditional quad-tree method, there were memory overflow and lag problem. For these problems, a new rapid loading algorithm for Five Class Fifteen Level tiles displayed on the mobile terminal was designed in this paper. The algorithm made sure the fast loading of remote sensing data was feasible, by calculating the dynamic load demand tile range, loading cyclic, caching strategy and deferring deletion strategy. Experimental results show that the loading speed of Five Class Fifteen Level tiles display on the mobile terminal is significantly increased by this algorithm. So that, the display fluency is enhanced. This algorithm also can decrease the memory consumption and enable to stabilize.

关 键 词:五层十五级 遥感瓦片数据 移动端 缓存策略 延后删除策略 

分 类 号:P208[天文地球—地图制图学与地理信息工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象