RFM模型在航空遥感影像优化中的适用性验证

doi:10.7517/j.issn.1674-0475.2018.02.003

影像科学与光化学 ›› 2018, Vol. 36 ›› Issue (2): 137-148.DOI: 10.7517/j.issn.1674-0475.2018.02.003

RFM模型在航空遥感影像优化中的适用性验证

徐春雪¹, 陈瑞², 赵红颖²

1. 北京大学城市与环境学院地表过程分析与模拟教育部重点实验室, 北京 100871;
2. 北京大学空间信息集成与3S工程应用北京市重点实验室, 北京 100871

收稿日期:2017-03-08 修回日期:2017-04-12 出版日期:2018-03-15 发布日期:2018-03-15
通讯作者: 赵红颖
基金资助:
国家自然科学基金项目（41571432）资助

Applicability Verification of RFM Model in Aerial Remote Sensing Image Optimization

XU Chunxue¹, CHEN Rui², ZHAO Hongying²

1. Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, P. R. China;
2. Beijing Key Lab of Spatial Information Integration and 3S Application, Peking University, Beijing 100871, P. R. China

Received:2017-03-08 Revised:2017-04-12 Online:2018-03-15 Published:2018-03-15

摘要/Abstract

摘要： 针对基于共线方程的模型在实际应用中的限制，研究并探索用于航天影像解算的有理函数模型（rational function model，RFM），以及它在航空影像中的解算有效性。从模型的定义、模型的性质以及模型的求解等方面对RFM给出了系统性的解释，并分析了RFM拟合光束法平差的精度。本文以基于共线方程的光束法空中三角测量平差成果为参照依据，比较分析了有理函数模型拟合光束法模型的相对精度。结果表明有理函数模型能以较高精度拟合光束法模型，有能力代替基于严格共线方程的经典模型以完成空中三角测量等任务。本文为RFM在无人机等近景影像中的应用提供了理论借鉴。

关键词: 共线方程, 有理函数模型(RFM), 正则化, 航空遥感影像

Abstract: Aiming at the limitation of the practical application situation based on the collinear equation, the rational function model (RFM) for aerial image resolution and the effectiveness of its solution in aerial image are studied and explored. The RFM is given a systematic explanation from the aspects of the definition and characteristic of the model and its solution. The fitting accuracy between RFM and classic bundle adjustment is also analyzed. Based on the triangulation measurement results of collinearity method, the experimental result proves the good performance of RFM compared with classic collinearity method. The results show that the rational function model can fit the bundle adjustment with high precision, and it can replace the classical model that based on the strict collinear equation to complete the task of aerial triangulation, thus providing a theoretical reference for the application of RFM in close-range images such as unmanned aerial vehicles.

Key words: collinearity equation, rational function model (RFM), regularization, aerial images

徐春雪, 陈瑞, 赵红颖. RFM模型在航空遥感影像优化中的适用性验证[J]. 影像科学与光化学, 2018, 36(2): 137-148.

XU Chunxue, CHEN Rui, ZHAO Hongying. Applicability Verification of RFM Model in Aerial Remote Sensing Image Optimization[J]. Imaging Science and Photochemistry, 2018, 36(2): 137-148.

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RFM模型在航空遥感影像优化中的适用性验证

Applicability Verification of RFM Model in Aerial Remote Sensing Image Optimization

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