摘要
海岸带航空高光谱遥感测量与调查时,水面无法进行地面控制点测量,不能通过传统的空中三角测量方法得到数据准确的外方位元素,因此如何保证海岸带航空遥感数据的几何精度是测量的关键问题之一。在总结分析了CASI 1500H型推扫式机载高光谱仪的几何检校原理与模型特点的基础上,设计了一套针对该系统的几何检校方案,检校结果表明,无控制点情况下CASI 1500H高光谱影像的几何精度得到显著提高。使用该几何检校方法对大襟岛及其周边海域进行了CASI 1500H航空高光谱数据获取,基于该数据进行了大襟岛及周边海域的悬浮泥沙浓度反演示范应用,总体反演精度优于70%,满足海岸带航空遥感调查需求。
When coastal hyperspectral remote sensing measurement and survey are conducted,the water surface cannot be used for ground control point measurement,and hence the accurate external orientation element of the data cannot be obtained by the traditional aerial triangulation method.Therefore,how to ensure the geometric accuracy of the aerial remote sensing data is one of the key problems in measurement.In this study,the authors summarized and analyzed the geometrical correction principle and model characteristics of CASI 1500H push-broom airborne hyperspectral instrument and designed a set of geometric calibration schemes for this system.The calibration results show that the geometric accuracy of CASI 1500H hyperspectral image can still be significantly improved without control points.Using this geometric calibration method,the authors acquired CASI airborne hyperspectral data of Dajin Island and its surrounding waters.Based on these data,the authors retrieved the suspended sediment concentration in the surrounding waters of Dajin Island,and the overall accuracy was better than 70%,which can meet the need of coastal airborne remote sensing survey.
作者
韩亚超
李奇
张永军
高子弘
杨达昌
陈洁
HAN Yachao;LI Qi;ZHANG Yongjun;GAO Zihong;YANG Dachang;CHEN Jie(China Aero Geophysical Survey and Romote Sensing Center for Natural Resources,Beijing 100083,China;Key Laboratory of Airborne Geophysics and Remote Sensing Geology,Ministry of Natural Resources,Beijing 100083,China;Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences,Beijing 100101,China)
出处
《国土资源遥感》
CSCD
北大核心
2020年第1期60-65,共6页
Remote Sensing for Land & Resources
基金
中国地质调查局项目“渤海海岸带航空物探遥感调查及应用”(编号:121201203000150020)
自然资源部航空地球物理与遥感地质重点实验室航遥青年创新基金项目“集成机载水深LiDAR和航空重力反演数据的近海海底地形构建研究”(编号:2016YFL15)共同资助。
