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RFM模型在航空遥感影像优化中的适用性验证

徐春雪 陈瑞 赵红颖

影像科学与光化学2018,Vol.36Issue(2):137-148,12.
影像科学与光化学2018,Vol.36Issue(2):137-148,12.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

Applicability Verification of RFM Model in Aerial Remote Sensing Image Optimization

徐春雪 1陈瑞 2赵红颖2

作者信息

  • 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
  • 折叠

摘要

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.

关键词

共线方程/有理函数模型(RFM)/正则化/航空遥感影像

Key words

collinearity equation/rational function model (RFM)/regularization/aerial images

引用本文复制引用

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):137-148,12.

基金项目

国家自然科学基金项目(41571432)资助 (41571432)

影像科学与光化学

OACSTPCD

1674-0475

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