With the development of remote sensing satellite technology, the temporal and spatial resolution of remote sensing data has been continuously improved, showing the trend of big data and massive quantification, which has brought challenges to the screening of remote sensing data. Traditional remote sensing data retrieval often has the problem of large amount of query results and high overlap. It requires manual data selection, which is inefficient and low in accuracy. Therefore, how to quickly and accurately find the required data from a large number of remote sensing images is a problem that needs to be solved urgently. In this paper, a remote sensing data screening algorithm based on area coverage is used to divide the target area into non-overlapping fragments using the effective range of images. A normalized mathematical calculation model is established based on the number of fragments contained in the image, imaging time, and cloud cover. The model obtains a comprehensive cost. An optimal image combination is selected according to the cost, which completely covers the target area. This paper confirms the effectiveness of the method through Landsat8 data, and improves the screening efficiency through parallel computing.
YAN Xuejing
,
LIU Wei
,
LIU Shibin
,
DUAN Jianbo
,
XIA Wei
. Screening method of remote sensing image region covering dataset[J]. Journal of University of Chinese Academy of Sciences, 2023
, 40(4)
: 523
-530
.
DOI: 10.7523/j.ucas.2022.006
[1] 江威, 何国金, 刘慧婵, 等. 高分一号卫星WFV影像全国陆地镶嵌与制图技术研究[J]. 国土资源遥感, 2017, 29(4):190-196. DOI:10.6046/gtzyyg.2017.04.29.
[2] 江威, 何国金, 彭燕, 等. 夜光遥感在"一带一路"战略中的应用潜力展望[J]. 中国科学院大学学报, 2017, 34(3):296-303. DOI:10.7523/j.issn.2095-6134.2017.03.004.
[3] Lossou E, Owusu-Prempeh N, Agyemang G. Monitoring Land Cover changes in the tropical high forests using multi-temporal remote sensing and spatial analysis techniques[J]. Remote Sensing Applications:Society and Environment, 2019, 16:100264. DOI:10.1016/j.rsase.2019.100264.
[4] 何方园. 基于空间格网过滤的海量遥感数据检索技术研究[D]. 河南开封:河南大学, 2017.
[5] USGS. Earth Resource Observation and Science Center(EROS)[EB/OL]. (2001)[2021-12-29]. http://glovis.usgs.gov/.
[6] University of Maryland. Global Land Cover Facility[EB/OL]. (2002-06-20)[2021-12-29]. http://landcover.org/.
[7] 中国资源卫星应用中心.中国资源卫星应用中心[EB/OL]. (2001-07-18)[2021-12-29]. http://www.cresda.com/CN/.
[8] 中国科学院计算机网络信息中心.地理空间数据云[EB/OL]. (2011-02-21)[2021-12-29]. http://www.gscloud.cn/.
[9] 中国科学院空天信息创新研究院.空天院遥感数据服务系统[EB/OL]. (2011-04-01)[2021-12-29]. http://eds.ceode.ac.cn/.
[10] 熊明豪. 面向高分遥感影像数据的检索策略研究与应用[D]. 河南开封:河南大学, 2018.
[11] 原发杰. 一种新的海量遥感瓦片影像数据存储检索策略[D]. 成都:电子科技大学, 2013.
[12] 王金杰. 基于语义的遥感影像数据检索关键技术研究[D]. 长沙:国防科学技术大学, 2013.
[13] 苗立新, 李霞, 周连芳, 等. 基于ENVI/IDL的多源遥感数据覆盖范围快速查询技术及实现[J]. 遥感技术与应用, 2010, 25(4):502-509.
[14] Demir B, Bruzzone L. An effective active learning method for interactive content-based retrieval in remote sensing images[C]//2013 IEEE International Geoscience and Remote Sensing Symposium-IGARSS, July 21-26, 2013, Melbourne, VIC, Australia. IEEE, 2013:4356-4359. DOI:10.1109/IGARSS.2013.6723799.
[15] Sukhia K N, Riaz M M, Ghafoor A, et al. Content-based remote sensing image retrieval using multi-scale local ternary pattern[J]. Digital Signal Processing, 2020,104:102765. DOI:10.1016/j.dsp.2020.102765.
[16] Bretschneider T, Cavet R, Kao O. Retrieval of remotely sensed imagery using spectral information content[C]//IEEE International Geoscience and Remote Sensing Symposium. June 24-28, 2002, Toronto, ON, Canada. IEEE, 2002:2253-2255. DOI:10.1109/IGARSS.2002.1026510.
[17] Chaudhuri B, Demir B, Bruzzone L, et al. Region-based retrieval of remote sensing images using an unsupervised graph-theoretic approach[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(7):987-991. DOI:10.1109/LGRS.2016.2558289.
[18] 李峰, 尤淑撑, 魏海, 等. 遥感影像区域覆盖最优数据集的筛选模型[J]. 无线电工程, 2017, 47(10):45-48.
[19] 杨曦, 颜静. 资源三号卫星影像最优区域覆盖算法研究[J]. 测绘地理信息, 2019, 44(6):71-74. DOI:10.14188/j.2095-6045.2017463.
[20] 何方园, 黄祥志, 马骏, 等. 基于空间二次过滤的遥感数据单时相全覆盖检索方法[J]. 河南大学学报(自然科学版), 2017, 47(3):287-292. DOI:10.15991/j.cnki.411100.2017.03.005.
[21] 宋晓晨. 集合覆盖问题的遗传算法求解方法[J]. 黑龙江工程学院学报, 2007,21(3):36-40. DOI:10.19352/j.cnki.issn1671-4679.2007.03.012.
[22] 张镱锂, 李炳元, 刘林山,等. 再论青藏高原范围[J]. 地理研究, 2021, 40(6):1543-1553. DOI:10.11821/dlyj020210138.
