Fast Image Stitching of Unmanned Aerial Vehicle Remote Sensing Image Based on SURF Algorithm

被引：1

作者：

Yuan, Man ^{[1
,2
]}

Lei, Tianjie ^{[1
]}

Liu, Xuemei ^{[2
]}

Li, Shican ^{[1
]}

机构：

[1] China Inst Water Resources & Hydropower Res IWHR, Beijing 100038, Peoples R China

[2] North China Univ Water Resources & Elect Power NC, Zhengzhou 450000, Peoples R China

来源：

ELEVENTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2019) | 2019年 / 11179卷

基金：

国家重点研发计划;

关键词：

Remote sensing image; UAV; SURF; Image stitching;

D O I：

10.1117/12.2548647

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Fast acquisition and processing of effective data sources are a heated topic in remote sensing image processing research. Unmanned aerial vehicle (UAV) remote sensing system has the advantages of maneuverability, rapidity and economical, it has become a hot topic in the world. The study analyzes the characteristics of remote sensing image and the characteristics of UAV remote sensing system and refers a variety of images fast processing algorithms to explore the rapid remote sensing images stitching and rapid information extraction methods. Based on the analysis of the relevant research at home and abroad, this paper draws lessons from some image processing ideas of modern photogrammetry and proposes a fast image stitching method of UAV remote sensing images based on SURF (Speed Up Robust Features) feature description. This method is applied to UAV remote sensing fast image stitching to achieve high-quality UAV remote sensing images for fast and automatic splicing. The stitching speed of this method is much faster than that of SIFT (Scale-invariant feature transform) algorithm. And the splicing effect of this method is satisfactory.

引用

页数：6

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