Please wait a minute...
REMOTE SENSING FOR LAND & RESOURCES    2017, Vol. 29 Issue (4) : 190-196     DOI: 10.6046/gtzyyg.2017.04.29
Research on China’s land image mosaicking and mapping technology based on GF-1 satellite WFV data
JINAG Wei1,2, HE Guojin1,3,4, LIU Huichan1,3,4, LONG Tengfei1,3,4, WANG Wei1, ZHENG Shouzhu5, MA Xiaoxiao1,2
1. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;
2. University of the Chinese Academy of Sciences, Beijing 100049, China;
3. Key Laboratory of Earth Observation Hainan Province, Sanya 572029, China;
4. Sanya Institute of Remote Sensing, Sanya 572029, China;
5. College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China
Download: PDF(8698 KB)   HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks    
Abstract  GF-1 is the first satellite in the major projects of high resolution observation system in China. It has provided abundant data for high and moderate spatial resolution image mosaicking for more than four years since its launching. The process of image mosaicking was based on the characteristics of the wide field of view (WFV)images of GF-1,including four key techniques i.e., data selection, geometric rectification, color adjustment, image mosaicking and mapping. The high precision geometric positioning of wide image is the key technology. After high quality data selection, ground control points (GCPs) were collected automatically. The root mean square error(RMSE)of each image should be less than 1 pixel with the average number of GCPs being 54. Then rational function model(RFM)was applied to the images for ortho-rectification. The 1: 5 000 000 national land image map was completed after color adjustment and mosaicking. This map has high spatial accuracy, colored pixels and temporal resolution. The method proposed in this paper could provide an important reference for the series of GF satellites image mosaicking and mapping, and would promote the domestic satellites to play a greater role in investigation of major resources and environment in China.
Keywords GF-1      mine remote sensing monitoring      data processing      information extraction     
:  TP751.1  
Issue Date: 04 December 2017
E-mail this article
E-mail Alert
Articles by authors
XUE Qing
WU Wei
LI Mingsong
DONG Shuangfa
SHI Haigang
Cite this article:   
XUE Qing,WU Wei,LI Mingsong, et al. Research on China’s land image mosaicking and mapping technology based on GF-1 satellite WFV data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(4): 190-196.
URL:     OR
[1] 何国金,王力哲,马 艳,等.对地观测大数据处理:挑战与思考[J].科学通报,2014,60(5/6):470-478.
He G J,Wang L Z,Ma Y,et al.Processing of earth observation big data:Challenges and countermeasures[J].Chinese Science Bulletin,2015,60(5/6):470-478.
[2] 郭华东,傅文学,李新武,等.全球变化科学卫星概念研究[J].中国科学:地球科学,2014,44(1):49-60.
Guo H D,Fu W X,Li X W,et al.Research on global change scientific satellites[J].Science China Earth Sciences,2014,57(2):204-215.
[3] RTU产品数据服务计划[EB/OL].(2015-03-10)[2016-06-16].
The plan of RTU product data service[EB/OL].(2015-03-10) [2016-06-16].
[4] 汪爱华,迟耀斌,王智勇,等.北京1号小卫星多光谱影像全国镶嵌技术与制图研究[J].遥感学报,2009,13(1):83-90.
Wang A H,Chi Y B,Wang Z Y,et al.Study on mosaic technology and mapping of China based on the multispectral images of Beijing-1 small satellite[J].Journal of Remote Sensing,2009,13(1):83-90.
[5] 卫 征,陈正超,张 兵,等.CBERS-1影像全国数字镶嵌与制图[J].中国图象图形学报,2006,11(6):787-791.
Wei Z,Chen Z C,Zhang B,et al.CBERS-1 digital images mosaic and mapping of China[J].Journal of Image and Graphics,2006,11(6):787-791.
[6] 程 乾,陈金凤.基于高分1号杭州湾南岸滨海陆地土地覆盖信息提取方法研究[J].自然资源学报,2015,30(2):350-360.
Cheng Q,Chen J F.Research on the extraction method of landcover information in southern coastal land of Hangzhou Bay based on GF-1 Image[J].Journal of Natural Resources,2015,30(2):350-360.
[7] 王中挺,辛金元,贾松林,等.利用暗目标法从高分一号卫星16 m相机数据反演气溶胶光学厚度[J].遥感学报,2015,19(3):530-538.
Wang Z T,Xin J Y,Jia S L,et al.Retrieval of AOD from GF-1 16 m camera via DDV algorithm[J].Journal of Remote Sensing,2015,19(3):530-538.
[8] 朱 利,李云梅,赵少华,等.基于GF-1号卫星WFV数据的太湖水质遥感监测[J].国土资源遥感,2015,27(1):113-120.doi:10.6046/gtzyyg.2015.01.18.
Zhu L,Li Y M,Zhao S H,et al.Remote sensing monitoring of Taihu Lake water quality by using GF-1 satellite WFV data[J].Remote Sensing for Land and Resources,2015,27(1):113-120.doi:10.6046/gtzyyg.2015.01.18.
[9] 刘国栋,邬明权,牛 铮,等.基于GF-1卫星数据的农作物种植面积遥感抽样调查方法[J].农业工程学报,2015,31(5):160-166.
Liu G D,Wu M Q,Niu Z,et al.Investigation method for crop area using remote sensing sampling based on GF-1 satellite data[J].Transactions of the Chinese Society of Agricultural Engineering,2015,31(5):160-166.
[10] Wang L,Yang R R,Tian Q J,et al.Comparative analysis of GF-1 WFV,ZY-3 MUX,and HJ-1 CCD sensor data for grassland monitoring applications[J].Remote Sensing,2015,7(2):2089-2108.
[11] 赵少华,王 桥,杨一鹏,等.高分一号卫星环境遥感监测应用示范研究[J].卫星应用,2015(3):37-40.
Zhao S H,Wang Q,Yang Y P,et al.The demonstration research of GF-1 satellite data monitoring environment application[J].Satellite Application,2015(3):37-40.
[12] 高分一号[EB/OL].(2014-12-16)[2015-10-15].
[13] 黄世存,李杏朝,芦祎霖,等.基于CBERS-02星的全国影像镶嵌图制作[J].国土资源遥感,2008,20(3):42-44.doi:10.6046/gtzyyg.2008.03.10.
Huang S C,Li X C,Lu Y L,et al.The mosaic and mapping of China digital images based on CBERS-02 data[J].Remote Sensing for Land and Resources,2008,20(3):42-44.doi:10.6046/gtzyyg.2008.03.10.
[14] Anuta P E.Spatial registration of multispectral and multitemporal digital imagery using fast Fourier transform techniques[J].IEEE Transactions on Geoscience Electronics,1970,8(4):353-368.
[15] Reddy B S,Chatterji B N.An FFT-based technique for translation,rotation,and scale-invariant image registration[J].IEEE Transactions on Image Processing,1996,5(8):1266-1271.
[16] 孙家抦.遥感原理与应用[M].3版.武汉:武汉大学出版社,2013:105-116.
Sun J B.Principles and Applications of Remote Sensing[M].3rd ed.Wuhan:Wuhan University Press,2013:105-116.
[17] Long T F,Jiao W L,He G J.Nested regression based optimal selection(NRBOS) of rational polynomial coefficients[J].Photogrammetric Engineering and Remote Sensing,2014,80(3):261-269.
[1] WANG Rong, ZHAO Hongli, JIANG Yunzhong, HE Yi, DUAN Hao. Application and analyses of texture features based on GF-1 WFV images in monthly information extraction of crops[J]. Remote Sensing for Natural Resources, 2021, 33(3): 72-79.
[2] WEI Yingjuan, LIU Huan. Remote sensing-based mineralized alteration information extraction and prospecting prediction of the Beiya gold deposit, Yunnan Province[J]. Remote Sensing for Natural Resources, 2021, 33(3): 156-163.
[3] MOU Xiaoli, LI He, HUANG Chong, LIU Qingsheng, LIU Gaohuan. Application progress of Google Earth Engine in land use and land cover remote sensing information extraction[J]. Remote Sensing for Land & Resources, 2021, 33(2): 1-10.
[4] CHEN Dong, YAO Weiling. Automatic numbering and method improvement of mine patches based on ArcPy and custom ArcToolbox[J]. Remote Sensing for Land & Resources, 2021, 33(2): 262-269.
[5] XIA Yan, HUANG Liang, CHEN Pengdi. Tobacco fine extraction from UAV image based on fuzzy-superpixel segmentation algorithm[J]. Remote Sensing for Land & Resources, 2021, 33(1): 115-122.
[6] WANG Lin, XIE Hongbo, WEN Guangchao, YANG Yunhang. A study on water information extraction method of cyanobacteria lake based on Landsat8[J]. Remote Sensing for Land & Resources, 2020, 32(4): 130-136.
[7] DIAO Mingguang, LIU Wenjing, LI Jing, LIU Fang, WANG Yanzuo. Dynamic change detection method of vector result data in mine remote sensing monitoring[J]. Remote Sensing for Land & Resources, 2020, 32(3): 240-246.
[8] LI Xusheng, LIU Yufeng, CHEN Donghua, LIU Saisai, LI Hu. Cloud detection based on support vector machine with image features for GF-1 data[J]. Remote Sensing for Land & Resources, 2020, 32(3): 55-62.
[9] Yizhe WANG, Guo LIU, Li GUO, Shihu ZHAO, Xueli ZHANG. Research on ortho-rectification and true color synthesis technique of GF-1 WFV data in China-Pakistan Economic Corridor[J]. Remote Sensing for Land & Resources, 2020, 32(2): 213-218.
[10] Xi LIU, Lina HAO, Xianhua YANG, Jie HUANG, Zhi ZHANG, Wunian YANG. Research and implementation of rapid statistical methods for mine remote sensing monitoring indicators[J]. Remote Sensing for Land & Resources, 2020, 32(2): 259-265.
[11] Zhuhong ZHANG, Baoyun WANG, Yumei SUN, Caidong LI, Xianchen SUN, Lingli ZHANG. River extraction from GF-1 satellite images combining stroke width transform and a geometric feature set[J]. Remote Sensing for Land & Resources, 2020, 32(2): 54-62.
[12] Ning WANG, Jiahua CHENG, Hanye ZHANG, Hongjie CAO, Jun LIU. Application of U-net model to water extraction with high resolution remote sensing data[J]. Remote Sensing for Land & Resources, 2020, 32(1): 35-42.
[13] Hui YUAN, Qiming QIN, Yuanheng SUN. Validation of LAI retrieval results of winter wheat in Yancheng, Luohe area of Henan Province[J]. Remote Sensing for Land & Resources, 2020, 32(1): 162-168.
[14] Jida PENG, Chungui ZHANG. Remote sensing monitoring of vegetation coverage by GF-1 satellite: A case study in Xiamen City[J]. Remote Sensing for Land & Resources, 2019, 31(4): 137-142.
[15] Xiaotong LI, Xianlin QIN, Shuchao LIU, Guifen SUN, Qian LIU. Estimation of forest leaf area index based on GF-1 WFV data[J]. Remote Sensing for Land & Resources, 2019, 31(3): 80-86.
Full text



Copyright © 2017 Remote Sensing for Natural Resources
Support by Beijing Magtech