摘要
随着卫星遥感技术的飞速发展,基于瓦片模式的遥感数据应用已逐渐成为遥感数据应用领域的趋势.然而,遥感数据瓦片化应用又进一步加剧了数据规模的增长,给数据检索带来了极大的压力.面对大规模的海量遥感瓦片数据,如何高效地获取目标数据已经成为空间信息科学领域迫切需要解决的问题之一.目前主流的检索模式还是采用传统遥感数据景检索方式,该检索方式在海量遥感数据背景下,检索效率极低且操作繁琐.通过改进传统遥感数据景检索方式,提出了一种全新的面向遥感瓦片数据的一次全覆盖检索模式和方法.该方法模式优化了传统数据检索后人工挑选的效率和操作流程,并根据遥感瓦片特有检索条件,提供了一次全覆盖自动检索、空间数据分布检索和单格网时序检索等功能.实验结果表明,该方法模式能从海量遥感瓦片数据中自动、高效、便捷地检索出目标区域满足实际应用需求的遥感瓦片数据.
With the rapid development of satellite remote sensing technology,the application of remote sensing data based on tile mode has gradually become the trend of remote sensing application.However,the application of remote sensing data tiles has further increased the scale of data growth,as well as brought great pressure to the data retrieval.It has become one of the urgent issues in the area of spatial information science that how to efficiently obtain the target data in the face of large-scale mass of remote sensing tile data.At present,the main mode of retrieval is based on the traditional remote sensing data scene retrieval mode with low retrieval efficiency and cumbersome operation in the background of massive remote sensing tile data.Therefore,this paper put forward a new full-coverage retrieval mode and method for remote sensing tile data by improving the traditional remote sensing tile data retrieval model.This method was used to optimize the efficiency and operation process of manual selection after traditional data retrieval.According to the unique retrieval condition of remote sensing tiles,a full-coverage automatic retrieval,target spatial data distribution retrieval and single grid sequential retrieval functions were provided.The experimental results show that the retrieval mode can automatically,efficiently and conveniently retrieve the remote sensing tile data,meeting the practical application requirements.
作者
左宪禹
熊明豪
黄祥志
臧文乾
商东东
ZUO Xianyu;XIONG Minghao;HUANG Xiangzhi;ZANG Wenqian;SHANG Dongdong(Institute of Data and Knowledge Engineering, Henan University, Henan Kaifeng 475004, China;College of Computer and Information Engineering, Henan University, Henan Kaifeng 475004, China;Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China)
出处
《河南大学学报（自然科学版）》
CAS
2018年第3期299-308,共10页
Journal of Henan University:Natural Science
基金
国家高分重大专项课题(Y4D00100GF)
国家重点研发计划课题(2017YFD0301105)
国家自然科学基金(U1604145)
河南省科技计划项目(172102110006
182102210242
182102110065
172102310666)
关键词
遥感瓦片数据
一次全覆盖
空间数据分布检索
单格网时序检索
remote sensing tile data
a full coverage
spatial data distributed retrieval
single grid sequential retrieval
