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大旋角无人机影像全自动拼接方法研究

胡庆武 艾明耀 殷万玲 袁辉

计算机工程2012,Vol.38Issue(15):152-155,4.
计算机工程2012,Vol.38Issue(15):152-155,4.DOI:10.3969/j.issn.1000-3428.2012.15.042

大旋角无人机影像全自动拼接方法研究

Research on Image Fully Automatic Mosaic Method with Large Rotation Angle from Unmanned Aerial Vehicle

胡庆武 1艾明耀 1殷万玲 1袁辉1

作者信息

  • 1. 武汉大学遥感信息工程学院,武汉430079
  • 折叠

摘要

Abstract

Images with large rotation angle from low altitude Unmanned Aerial Vehicle(UAV) with weakness stability cannot realize automatically mosaic using the" traditional methods with geo-referenced orthographic images, in this paper, an image mosaics technique with Scale Invariant Feature Transform(SIFT) and multi-resolution spline merging is proposed for low attitude UAV images. A fast and batch image distortion correction algorithm based on single image distortion look-up table is presented for multiple images. A novel homograph-constrained image matching algorithm based on SIFT feature is proposed to calculate the optimal transformation matrix between overlapping images. A multi-resolution spline mosaics technique with optimal transformation matrix of overlap images is presented. Experimental result shows that the proposed method can obtain a large number of stable correspondences and transformation matrix of overlap images for further seamless image mosaic, which can be useful for fast and automatic images mosaic from low altitude UAV with large rotate angle and instability.

关键词

无人机/影像拼接/尺度不变特征变换/最优变换矩阵/多分辨率样条

Key words

Unmanned Aerial Vehicle(UAV)/ image mosaic/ Scale Invariant Feature Transform(SIFT)/ optimal transformation matrix/ multi-resolution spline

分类

信息技术与安全科学

引用本文复制引用

胡庆武,艾明耀,殷万玲,袁辉..大旋角无人机影像全自动拼接方法研究[J].计算机工程,2012,38(15):152-155,4.

基金项目

国家自然科学基金资助项目“高光谱遥感纹理分形和分形纹理研究”(40901164) (40901164)

国家“973”计划基金资助项目“城市地下工程安全性的基础理论研究”(2010CB723106) (2010CB723106)

中央高校基本科研业务费专项基金资助项目(275856) (275856)

计算机工程

OACSCDCSTPCD

1000-3428

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