惯导约束下的高光谱图像行相关几何校正算法  

The line related geometric correction algorithm under the inertial navigation constraint for the hyperspectral image

作　　者：胡海斌 张浩 李聪[3] 魏志奇[4] 阎跃观[3] 郭新慧[5] HU Haibin;ZHANG Hao;LI Cong;WEI Zhiqi;YAN Yueguan;GUO Xinhui(Shanxi Architectural College,Taiyuan 030006,China;Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100190,China;China University of Mining ＆Technology,Beijing 100083,China;The Company of Golden Way Scientific,Beijing 100016,China;Provincial Center for Remote Sensing of Shanxi,Taiyuan 030001,China)

机构地区：[1]山西建筑职业技术学院,太原030006 [2]中国科学院遥感与数字地球研究所,北京100190 [3]中国矿业大学,北京100083 [4]北京欧普特科技有限公司,北京100016 [5]山西省遥感中心,太原030001

出　　处：《测绘科学》2018年第7期1-6,共6页Science of Surveying and Mapping

基　　金：国家重点研发计划项目(2016YFB0501501);国家自然科学基金项目(51404272)

摘　　要：针对搭载于无人机的推扫式高光谱成像仪受气流影响显著,获取的高光谱图像几何畸变明显,无人机搭载POS精度相对较低,传统方法难以消除图像几何畸变等问题。该文提出了结合图像行相关和低精度GPS惯导数据校正的思路,首先进行行相关匹配完成图像行之间的相对平移量,然后经过反算修正POS的翻滚角数据,最后基于更新后的POS数据进行几何校正。该方法充分结合了行相关匹配和POS校正的优势,最大限度地消除了几何畸变,经过对无人机图像验证,比其他单一方法处理效果更为明显。Hyperspectral image that carrying unmanned aerial vehicle（UAV） significantly affected by the air flow, the line scan characteristics caused significant geometric distortion, so it is difficult to conduct the subsequent remote sensing application without geometric correction. But limited to the cost, size, and weight factors, the precision of current POS which carried by domestic hyperspectral drone platform is low, so it is difficult to eliminate the geometric distortion. Based on this, we put forward the thinking of combining with image line related and low precision GPS to derivative correction, first, conducting the line correlation matching and complete image translation amount of relative position and thenuse the GPS data to complete the constraint correction, then revising POS data of roll Angle, finally using the updated POS data for geometric correction. After validating the image of UAV, the proposed method fully combines the advantage of correlation matching and POS correction, eliminates the geometric distortion to the greatest extent, treatment effect is more apparent than any other single method, it has certain promotion value for this kind of geometric correction to low cost airlines line scan image of linear UAV under POS system.

关 键 词：变形建模 时空自回归 空间加权 克里金法 

分 类 号：P237[天文地球—摄影测量与遥感]