岷江流域无人机遥感影像拼接及灾害信息提取
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摘要
针对无人机遥感影像的特点,提出了一种基于特征点和重叠度的快速自动拼接算法。该算法实现了用于计算参考图像和待配准图像之间重叠度的相位相关法,并提出只在重叠区域中进行特征提取和特征匹配的方法。利用岷江流域无人机遥感图像进行了实验,结果表明,该算法使图像拼接有效地防止了图像非重叠区域中信息对算法的干扰,提高了拼接算法的精度和速度。并利用拼接的图像对茂县至都江堰的岷江主干河流进行了灾害信息提取和统计分析,为建立无人机高分辨率低空遥感数据的快速处理和应急灾害信息提取具有重要的指导意义。
A fast algorithm of automatic mosaic is presented for the unmanned aerial vehicle(UAV) images.A phase correlation method used to calculate the overlap degree between reference images and matching images is realized.And a new method to carry out feature extraction and match only within the overlap region is proposed,which reduces the computational complexity dramatically,prevents non-overlap image region′s data from influencing the algorithm and increases the accuracy of mosaic algorithm.The algorithm calculates the overlap degree between two images through phase correlation method,extracts feature points by using the improved harris corner detection algorithm,eliminates approximately feature points failing to match according to the overlap degree,and confirms matched points pairs based on similarity function.The paper obtained a seamless image by fusion splicing.Experimental results demonstrate that the algorithm is effective and valuable.
A fast algorithm of automatic mosaic is presented for the unmanned aerial vehicle(UAV) images.A phase correlation method used to calculate the overlap degree between reference images and matching images is realized.And a new method to carry out feature extraction and match only within the overlap region is proposed,which reduces the computational complexity dramatically,prevents non-overlap image region′s data from influencing the algorithm and increases the accuracy of mosaic algorithm.The algorithm calculates the overlap degree between two images through phase correlation method,extracts feature points by using the improved harris corner detection algorithm,eliminates approximately feature points failing to match according to the overlap degree,and confirms matched points pairs based on similarity function.The paper obtained a seamless image by fusion splicing.Experimental results demonstrate that the algorithm is effective and valuable.
引文
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[11]马瑞升,孙涵,林宗桂,等.微型无人机遥感影像的纠偏与定位[J].南京气象学院学报,2005,28(5):632.
[12]马瑞升,孙涵,马轮基,等.基于微型无人机影像的土地利用调查试验[J].遥感信息应用技术,2006(1):43.
[13]GUOQING ZHOU,DEYAN ZANG,Civil UAVSystem for Earth Observation[J].Geoscience andRemote Sensing Symposium,2007:5319.
[14]BLASCHKE T,LANG S,LORUP E,et al.,Object-oriented Image Processing in an Integrated GIS/re-mote Sensing Environment and Perspectives for Envi-ronmental Applications[J].Environmental Informa-tion for Planning.2000(2):555.
[2]崔红霞,林宗坚,孙杰.大重叠度无人机遥感影像的三维建模方法研究[J],测绘科学,2005,30(2):36.
[3]杨武年,FRANOGIS CAUNEAU,THIERRY RANCHIN,等.应用多种数据融合方法对多时相SPOT图像处理提取三峡工程大坝区地面动态变化信息[J].物探化探计算技术,2005,27(3):267.
[4]曾涛,杨武年,简季.无人机低空遥感影像处理在汶川地震地质灾害信息快速勘测中的应用[J].测绘科学,2009(34):64.
[5]何磊,苗放,李玉霞.无人机遥感图像及其三维可视化在汶川地震救灾中的应用[J].物探化探计算技术,2010,32(2):206.
[6]JAGANNADAN V,PRAKASH M C,SARMA R R,et al.Feature extraction and image registration ofcolor images using Fourier bases[J].IEEE Trans onImage Processing,2005(2):656.
[7]SZELISKI R.Video mosaics for virtual environments[J].IEEE Computer Graphics and Applications.2006,16(2):21.
[8]朱博勤,魏成阶,张渊智.航空遥感地震灾害信息的快速提取[J].自然灾害学报,1998,7(1):34.
[9]陈文凯,何少林,张景发,等.利用遥感技术提取震害信息方法的研究进展[J].西北地震学报,2008,30(1):88.
[10]王晓青,魏成阶,苗崇刚,等.震害遥感快速提取研究———以2003年2月24日巴楚-伽师6.8级地震为例[J].地学前缘,2003(10):285.
[11]马瑞升,孙涵,林宗桂,等.微型无人机遥感影像的纠偏与定位[J].南京气象学院学报,2005,28(5):632.
[12]马瑞升,孙涵,马轮基,等.基于微型无人机影像的土地利用调查试验[J].遥感信息应用技术,2006(1):43.
[13]GUOQING ZHOU,DEYAN ZANG,Civil UAVSystem for Earth Observation[J].Geoscience andRemote Sensing Symposium,2007:5319.
[14]BLASCHKE T,LANG S,LORUP E,et al.,Object-oriented Image Processing in an Integrated GIS/re-mote Sensing Environment and Perspectives for Envi-ronmental Applications[J].Environmental Informa-tion for Planning.2000(2):555.
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