高分一号卫星WFV影像全国陆地镶嵌与制图技术研究

发布时间：2018-06-04 19:15

本文选题：高分一号 + WFV影像　；参考：《国土资源遥感》2017年04期

【摘要】：高分一号(GF-1)卫星是我国高空间分辨率对地观测系统重大专项中的首颗卫星,目前已正常运行4 a多,为全国中、高空间分辨率影像镶嵌提供了丰富的数据源。针对GF-1多光谱宽幅覆盖(wide field of view,WFV)影像特点,制定了影像处理的技术流程,主要包括数据选取、几何纠正、匀色镶嵌和制图4项关键技术,重点解决大幅宽影像高精度几何定位问题;在选取高质量数据基础上,自动采集控制点,控制点均方根误差(root mean square error,RMSE)不大于1个像元,平均每景影像中控制点数量为54个;应用有理函数模型(rational function model,RFM)对影像进行正射纠正,然后进行色调调整和镶嵌处理,制作全国1∶500万比例尺陆地卫星影像专题地图。镶嵌结果具有空间精度高、地物色彩丰富和时效性强等特点。所采用的技术流程和方法可为高分系列卫星全国镶嵌制图提供参考,同时也将促进国产高分卫星在全国重大资源环境调查中的应用推广。
[Abstract]:The GF-1) satellite is the first satellite in the high spatial resolution earth observation system in China. It has been running normally for more than 4 years, which provides a rich data source for high spatial resolution image mosaic in China. According to the characteristics of GF-1 multispectral wide coverage field of WFV image, the technical flow of image processing is established, which includes four key techniques: data selection, geometric correction, uniform color mosaic and cartography. On the basis of selecting high quality data, the root mean square error (RMSE) of control points is less than 1 pixel, and the average number of control points in each scene image is 54. Rational function model RFM is used to correct the image, and then tonal adjustment and mosaic are carried out to make the thematic map of the national Landsat image with a scale of 1: 5 million. The mosaic results have the characteristics of high spatial precision, rich color and strong timeliness. The technical flow and method adopted can provide reference for the national mosaic mapping of high grade satellites, and will also promote the application and popularization of domestic high score satellites in the investigation of national major resources and environment.
【作者单位】：中国科学院遥感与数字地球研究所;中国科学院大学;海南省地球观测重点实验室;三亚中科遥感研究所;同济大学测绘与地理信息学院;
【基金】：国家重点研发计划全球变化及应对专项课题项目“大尺度全球变化数据产品快速生成方法”(编号:2016YFA0600302) 海南省重大科技计划项目“海南省遥感大数据服务平台建设与应用示范”(编号:ZDKJ2016021);海南省重大科技计划项目“新型海洋信息感知关键技术及设备研发”(编号:ZDKJ2016015)共同资助
【分类号】：TP751

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