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基于双特征的丘陵山区耕地低空遥感图像配准算法

宋飞 杨扬 杨昆 张愫 毕东升

宋飞, 杨扬, 杨昆, 等 . 基于双特征的丘陵山区耕地低空遥感图像配准算法[J]. 北京航空航天大学学报, 2018, 44(9): 1952-1963. doi: 10.13700/j.bh.1001-5965.2017.0674
引用本文: 宋飞, 杨扬, 杨昆, 等 . 基于双特征的丘陵山区耕地低空遥感图像配准算法[J]. 北京航空航天大学学报, 2018, 44(9): 1952-1963. doi: 10.13700/j.bh.1001-5965.2017.0674
SONG Fei, YANG Yang, YANG Kun, et al. Low-altitude remote sensing image registration algorithm based on dual-feature for arable land in hills and mountains[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(9): 1952-1963. doi: 10.13700/j.bh.1001-5965.2017.0674(in Chinese)
Citation: SONG Fei, YANG Yang, YANG Kun, et al. Low-altitude remote sensing image registration algorithm based on dual-feature for arable land in hills and mountains[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(9): 1952-1963. doi: 10.13700/j.bh.1001-5965.2017.0674(in Chinese)

基于双特征的丘陵山区耕地低空遥感图像配准算法

doi: 10.13700/j.bh.1001-5965.2017.0674
基金项目: 

国家自然科学基金 41661080

云南省教育厅科学研究基金 2018Y037

云南师范大学博士科研启动经费 01000205020503065

详细信息
    作者简介:

    宋飞  男, 硕士研究生。主要研究方向:遥感图像处理、地理信息系统

    杨扬  男, 博士, 副教授, 硕士生导师。主要研究方向:模式识别、计算机视觉、遥感图像处理、医学图像处理、地理信息系统

    通讯作者:

    杨扬, E-mail: yyang_ynu@163.com

  • 中图分类号: S127;S252+.9

Low-altitude remote sensing image registration algorithm based on dual-feature for arable land in hills and mountains

Funds: 

National Nature Science Foundation of China 41661080

Scientific Research Foundation of Yunnan Provincial Department of Education 2018Y037

Doctoral Scientific Research Foundation of Yunnan Normal University 01000205020503065

More Information
  • 摘要:

    针对丘陵山区耕地小型无人机航拍图像(低空遥感图像)中的尺度变化、几何畸变、图像重叠等问题,提出了基于双特征的丘陵山区耕地低空遥感图像配准算法。该算法鉴于丘陵山区耕地背景环境复杂、光照因素等影响,采用尺度不变特征SURF算法提取了遥感图像的特征点,并构建了能够稳健描述航拍图像几何特征的双特征描述子;在此基础上,以高斯混合模型(GMM)为核心,结合2个单一特征差异描述子(基于欧氏距离的全局特征和基于和向量的局部特征)构造的双特征描述子,得到了能够同时通过2种特征进行对应关系评估的双特征有限混合模型(DFMM),并通过再生核希尔伯特空间(RKHS),基于高斯径向基函数(GRBF)对待配准图像进行了全局与局部结构双约束的空间变换更新。为了验证本文算法的可行性及其性能,采用小型无人机航拍的丘陵山区坡耕地多视角遥感图像开展了实验,将本文算法与SIFT、SURF、CPD、AGMReg、GLMDTPS及PRGLS进行了比较。实验结果表明,本文算法不仅在不同坡度的坡耕地航拍图像多视角配准过程中,均具有较好的鲁棒性,也适用于部分复杂地形小型无人机航拍的多视角遥感图像配准。

     

  • 图 1  心型特征点集中某中心点与其最近相邻点(5个点)构成的局部片段

    Figure 1.  A central point and its nearest neighboring points(five points) construct a small fragment of heart-shaped feature points

    图 2  图像配准流程图

    Figure 2.  Flowchart of image registration

    图 3  提取图像特征

    Figure 3.  Image feature extraction

    图 4  单一特征与混合特征(双特征)性能比较

    Figure 4.  Performance comparison of single feature and mixed feature (dual-feature)

    图 5  L2E与MLE随着冗余点数量的改变的鲁棒性对比

    Figure 5.  Variation of L2E and MLE with number of redundant point and their robustness comparison

    图 6  5组数据集(i)的图像配准结果示例

    Figure 6.  Examples of image registration results for five sets of data sets (i)

    图 7  5组数据集(ii)的图像配准结果示例

    Figure 7.  Examples of image registration results for five sets of data sets (ii)

    图 8  4组图像配准结果示例

    Figure 8.  Examples of four sets of image registration results

    表  1  实验数据

    Table  1.   Experimental data

    参数 (i) (ii)
    坡度/(°) 6~15 15~25
    实验组数 30 30
    尺寸/(mm×mm) 640×450~
    1 100×850
    640×450~
    1 100×850
    俯角变化/(°) 30~90 30~90
    水平视角/(°) -90~90 -90~90
    特征点数 282~712 140~600
    下载: 导出CSV

    表  2  使用RMSE和MAE进行数据集(i)和(ii)实验的评估比较结果

    Table  2.   Experimental result of exprimental database (i) and (ii) evaluation and comparison using RMSE and MAE

    误差 数据集 SURF SIFT CPD AGMReg GLMDTPS PRGLS DFMM
    RMSE (i) 7.283 7 12.528 7 5.436 5 5.112 3 4.919 1 3.716 3 1.321 1
    (ii) 6.062 7 11.556 6 3.257 6 3.190 4 3.106 5 2.483 2 1.012 7
    MAE (i) 4.234 4 7.288 9 3.110 2 3.044 0 3.058 1 2.038 0 1.074 9
    (ii) 5.441 1 6.008 0 2.239 4 2.170 2 2.103 8 1.504 5 0.645 2
    下载: 导出CSV

    表  3  使用RMSE和MAE进行复杂地形低空遥感图像实验的评估实验结果

    Table  3.   Experimental results of low-altitude remote sensing images with complex terrain evaluation using RMSE and MAE

    误差 云南昆明老街 长城 大坝 铁路 均值
    RMSE 1.874 1 1.231 8 1.042 3 1.453 6 1.400 5
    MAE 1.321 6 1.875 7 1.031 0 1.234 2 1.365 6
    下载: 导出CSV
  • [1] 易中懿, 曹光乔, 张宗毅.我国南方丘陵山区农业机械化宏观影响因素分析[J].农机化研究, 2010, 32(8):229-233. doi: 10.3969/j.issn.1003-188X.2010.08.059

    YI Z Y, CAO G Q, ZHANG Z Y.Analysis of macro factors influencing agricultural mechanization in hilly and mountainous areas of China[J].Journal of Agricultural Mechanization, 2010, 32(8):229-233(in Chinese). doi: 10.3969/j.issn.1003-188X.2010.08.059
    [2] 祝功武.南方丘陵山区耕地现状, 潜力与开发对策:以德庆县为例[J].地理科学, 1998, 18(1):10-15. http://www.cnki.com.cn/Article/CJFDTotal-DLKX801.001.htm

    ZHU G W.Status quo hilly area south of arable land, potential and development strategies:A case study in Deqing county[J].Geographical Sciences, 1998, 18(1):10-15(in Chinese). http://www.cnki.com.cn/Article/CJFDTotal-DLKX801.001.htm
    [3] 吴兆娟, 魏朝富, 丁声源.丘陵山区地块尺度耕地社会保障功能价值研究[J].资源科学, 2013, 35(4):95-103. http://d.old.wanfangdata.com.cn/Periodical/zykx201304012

    WU Z J, WEI Z F, DING S Y.Study on the social security function value of cultivated land in the hilly area of the mountainous region[J].Resources Science, 2013, 35(4):95-103(in Chinese). http://d.old.wanfangdata.com.cn/Periodical/zykx201304012
    [4] 杨邦杰, 裴志远, 周清波, 等.我国农情遥感监测关键技术研究进展[J].农业工程学, 2002, 18(3):191-194. doi: 10.3321/j.issn:1002-6819.2002.03.045

    YANG B J, PEI Z Y, ZHOU Q B, et al.Study on key technology of remote sensing monitoring in China[J].Journal of Agricultural Engineering, 2002, 18(3):191-194(in Chinese). doi: 10.3321/j.issn:1002-6819.2002.03.045
    [5] 汪沛, 罗锡文, 周志艳, 等.基于微小型无人机的遥感信息获取关键技术综述[J].农业工程学报, 2014, 30(18):1-12. doi: 10.3969/j.issn.1002-6819.2014.18.001

    WANG P, LUO X W, ZHOU Z Y, et al.Study on key technology of remote sensing information acquisition based on micro-UAV[J].Journal of Agricultural Engineering, 2014, 30(18):1-12(in Chinese). doi: 10.3969/j.issn.1002-6819.2014.18.001
    [6] HARRIS C.A combined corner and edge detector[J].Alvey Vision Conference, 1988(3):147-151. http://cn.bing.com/academic/profile?id=ec9aac7ea843efb9b6a9b356e4d49d22&encoded=0&v=paper_preview&mkt=zh-cn
    [7] LOWE D G.Distinctive image features from scale-invariant keypoints[J].International Journal of Computer Vision, 2004, 60(2):91-110. doi: 10.1023/B:VISI.0000029664.99615.94
    [8] BAY H, ESS A, TUYTELAARS T, et al.Speeded-up robust features[J].Computer Vision and Image Understanding, 2008, 110(3):404-417. http://d.old.wanfangdata.com.cn/Periodical/xtgcydzjs200911039
    [9] BROOK A, BENDOR E.Automatic registration of airborne and spaceborne images by topology map matching with SURF processor algorithm[J].Remote Sensing, 2011, 3(1):65-82. doi: 10.3390/rs3010065
    [10] ZHAO L Y, LYU B Y, LI X R, et al.Multi-source remote sensing image registration based on SIFT and optimization of regional mutual information[J].Acta Physica Sinica, 2015, 64(12):124204. http://d.old.wanfangdata.com.cn/Periodical/wlxb201512017
    [11] LEI T, LI L, KAN G, et al.Automatic registration of unmanned aerial vehicle remote sensing images based on an improved SIFT algorithm[C]//Eighth International Conference on Digital Image Processing.Chengdu: ICDIP, 2016: 100333R.
    [12] 乔川, 丁亚林, 许永森, 等.基于地理位置信息的图像配准方法及精度分析[J].光学学报, 2017, 37(8):318-328. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QKC20172017091300102081

    QIAO C, DING Y L, XU Y S, et al.Image registration method and precision analysis based on geographic location information[J].Acta Optica Sinica, 2017, 37(8):318-328(in Chinese). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QKC20172017091300102081
    [13] MYRONENKO A, SONG X.Point set registration:Coherent point drift[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(12):2262-2275. doi: 10.1109/TPAMI.2010.46
    [14] GREENGARD L, STRAIN J.The fast Gauss transform[J].SIAM Journal of Scientific and Statistical Computing, 1991, 12(1):79-94. doi: 10.1137/0912004
    [15] MARKOVSKY I.Structured low-rank approximation and its applications[J].Automatica, 2008, 44(4):891-909. doi: 10.1016/j.automatica.2007.09.011
    [16] WANG G, WANG Z, CHEN Y, et al.Robust point matching method for multimodal retinal image registration[J].Biomedical Signal Processing and Control, 2015, 19:68-76. doi: 10.1016/j.bspc.2015.03.004
    [17] YANG Y, ONG S H, FOONG K W C.A robust global and local mixture distance based non-rigid point set registration[J].Pattern Recognition, 2015, 48(1):156-173. doi: 10.1016/j.patcog.2014.06.017
    [18] MA J, ZHAO J, YUILLE A L.Non-rigid point set registration by preserving global and local structures[J].IEEE Transactions on Image Processing, 2016, 25(1):53-64. doi: 10.1109/TIP.2015.2467217
    [19] SCOTT D W.Parametric statistical modeling by minimum integrated square error[J].Technometrics, 2001, 43(3):274-285. doi: 10.1198/004017001316975880
    [20] SEVERINI T A.Robust and efficient estimation by minimising a density power divergence[J].Biometrika, 1998, 85(3):549-559. doi: 10.1093/biomet/85.3.549
    [21] MA J Y, ZHAO J W, TIAN J, et al.Robust estimation of nonrigid transformation for point set registration[C]//IEEE Conference on Computer Vision and Recognition. Piscataway, NJ: IEEE Press, 2013: 2147-2154.
    [22] YUILLE A L, GRZYWACZ N M.A Mathematical analysis of the motion coherence theory[J].International Journal of Computer Vision, 1989, 3(2):155-175. doi: 10.1007/BF00126430
    [23] GROETSCH C W.The theory of Tikhonov regularization for fredholm equations of the first kind[M].Boston:Pitman Advanced Publishing Program, 1984:98-100.
    [24] ARONSZAJN N.Theory of reproducing Kernels[J].Transactions of the American Mathematical Society, 1950, 68(3):337-404. doi: 10.1090/S0002-9947-1950-0051437-7
    [25] ZITOVA B, FLUSSER J.Image registration methods:A survey[J].Image and Vision Computing, 2003, 21(11):977-1000. doi: 10.1016/S0262-8856(03)00137-9
    [26] 范玉芳, 罗友进, 魏朝富.西南丘陵山区坡耕地水平梯田工程设计分析[J].山地学报, 2010, 28(5):560-565. doi: 10.3969/j.issn.1008-2786.2010.05.008

    FAN Y F, LUO Y J, WEI C F.Design and analysis of horizontal terraces of sloping land in hilly and hilly areas of southwest China[J].Acta Terrestrial Journal, 2010, 28(5):560-565(in Chinese). doi: 10.3969/j.issn.1008-2786.2010.05.008
    [27] 马芊红, 张光辉, 耿韧, 等.我国水蚀区坡耕地土壤重金属空间分布及其污染评价[J].水土保持研究, 2017, 24(2):112-118. http://d.old.wanfangdata.com.cn/Periodical/stbcyj201702020

    MA Q H, ZHANG G H, GENG R, et al.Spatial distribution and pollution assessment of heavy metals in slope farmland of water erosion area in China[J].Journal of Soil and Water Conservation, 2017, 24(2):112-118(in Chinese). http://d.old.wanfangdata.com.cn/Periodical/stbcyj201702020
    [28] 陈伟, 朱继平, 陈小兵, 等.我国坡耕地农业机械化发展现状[J].农机化研究, 2017, 39(5):1-5. doi: 10.3969/j.issn.1003-188X.2017.05.001

    ZHU W, ZHU J P, CHEN X B, et al.China's sloping farmland agricultural mechanization development status[J].Agricultural Mechanization Research, 2017, 39(5):1-5(in Chinese). doi: 10.3969/j.issn.1003-188X.2017.05.001
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出版历程
  • 收稿日期:  2017-10-30
  • 录用日期:  2018-01-12
  • 刊出日期:  2018-09-20

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