航天返回与遥感
航天返迴與遙感
항천반회여요감
SPACECRAFT RECOVERY & REMOTE SENSING
2015年
4期
48-53
,共6页
王忠武%刘顺喜%戴建旺%尤淑撑%孟超
王忠武%劉順喜%戴建旺%尤淑撐%孟超
왕충무%류순희%대건왕%우숙탱%맹초
影像配准%精度%策略%“高分二号”卫星%航天遥感
影像配準%精度%策略%“高分二號”衛星%航天遙感
영상배준%정도%책략%“고분이호”위성%항천요감
image registration%precision%strategy%GF-2 satellite%space remote sensing
“高分二号”(GF-2)卫星能够提供空间分辨率优于1m的全色影像和优于4m的多光谱影像,可以作为高精度土地基础数据采集的影像数据源之一。针对多光谱与全色影像配准精度对后续数据处理和应用影响较大的问题,文章分别采用原始多光谱与全色影像的自动配准和纠正后配准两种方法,对比不同策略的配准精度,结合土地资源遥感调查监测的相关技术规程,形成 GF-2卫星多光谱与全色影像配准策略。对10景山区和平原区完整景GF-2卫星影像进行了试验,结果表明,原始多光谱与全色影像自动配准方法不仅能保证配准精度,而且能缩短影像预处理完成时间,是规模化数据应用中较好的配准策略。
“高分二號”(GF-2)衛星能夠提供空間分辨率優于1m的全色影像和優于4m的多光譜影像,可以作為高精度土地基礎數據採集的影像數據源之一。針對多光譜與全色影像配準精度對後續數據處理和應用影響較大的問題,文章分彆採用原始多光譜與全色影像的自動配準和糾正後配準兩種方法,對比不同策略的配準精度,結閤土地資源遙感調查鑑測的相關技術規程,形成 GF-2衛星多光譜與全色影像配準策略。對10景山區和平原區完整景GF-2衛星影像進行瞭試驗,結果錶明,原始多光譜與全色影像自動配準方法不僅能保證配準精度,而且能縮短影像預處理完成時間,是規模化數據應用中較好的配準策略。
“고분이호”(GF-2)위성능구제공공간분변솔우우1m적전색영상화우우4m적다광보영상,가이작위고정도토지기출수거채집적영상수거원지일。침대다광보여전색영상배준정도대후속수거처리화응용영향교대적문제,문장분별채용원시다광보여전색영상적자동배준화규정후배준량충방법,대비불동책략적배준정도,결합토지자원요감조사감측적상관기술규정,형성 GF-2위성다광보여전색영상배준책략。대10경산구화평원구완정경GF-2위성영상진행료시험,결과표명,원시다광보여전색영상자동배준방법불부능보증배준정도,이차능축단영상예처리완성시간,시규모화수거응용중교호적배준책략。
Panchromatic image with resolution better than 1 meter and multispectral image with resolution better than 4 meters simultaneously provided by GF-2 satellite, could be a potential data source for high precision land information acquisition. Aiming at the large effect of multispectral and panchromatic image registration precision on follow-up image processing and application, this article presents two registration methods, which are automatic registration of original images and registration after image correction, and draws up a registration strategy after analyzing their precision in consideration technical regulations of land remote sensing investigation and monitoring. Using ten pairs of multispectral and panchromatic image, which cover plain and mountain areas, the experiments show that, automatic registration of original images is a better strategy for large scale data application, not only for ensuring its high precision but also for reducing data-process time of the whole workflow.