基于Fast-NCC SFOC与小面元的全色—多光谱配准方法OA
Panchromatic and Multi-spectral Images Registration Method Based on Fast-NCC SFOC and Tiny Facet Element
根据国产卫星全色与多光谱影像数据独特的成像特性和显著的时空—光谱差异,深入剖析了影像融合前配准误差的成因,并对相关配准方法进行了研究.针对传统人工配准效率低下、商业软件适用性不足等难题,提出了一种高效高精度的全色—多光谱配准方法.Fast-NCC SFOC与小面元微分校正技术相结合能有效修正国产卫星全色和多光谱影像的配准误差.利用吉林一号安徽地区影像数据进行验证,结果表明该方法配准精度优于1个全色像素,可为后续国产卫星的遥感应用提供重要的技术支撑.
Based on the unique imaging characteristics of domestic satellite panchromatic and multi-spectral image data and their significant spatio-temporal-spectral differences,we conducted an in-depth analysis of the causes of registration errors prior to image fusion and studied relevant registration methods.Addressing the issues of low efficiency in traditional manual registration and insufficient applicability of commercial software,we proposed a panchromatic and multi-spectral images registration method with high efficiency and high precision.By integrating Fast-NCC SFOC and tiny facet element differential correction technology,this method effectively corrects registration errors of domestic satellite panchromatic and multi-spectral images.This method was validated by Jilin-1 data from Anhui Province,China.The result demonstrates that the registration accuracy achieved by this method is better than one panchromatic pixel,providing important technical support for subsequent remote sensing applications of domestic satellites.
占媛;马卫春;孙赜
安徽省基础测绘信息中心,安徽 合肥 230031安徽省基础测绘信息中心,安徽 合肥 230031吉林师范大学,吉林 四平 136000
天文与地球科学
国产卫星影像融合全色—多光谱配准
domestic satelliteimage fusionpanchromatic and multi-spectral images registration
《地理空间信息》 2026 (5)
12-15,4
安徽省测绘局2025年度科技创新资助项目(2025-KJ-10).
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