一种快速均匀的采用尺度不变特征变换描述符进行基于内容的卫星图像配准方法

Hamed BOZORGI; Ali JAFARI

doi:10.1631/FITEE.1500295

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一种快速均匀的采用尺度不变特征变换描述符进行基于内容的卫星图像配准方法

常规文章 | Updated：2022-05-19

- 一种快速均匀的采用尺度不变特征变换描述符进行基于内容的卫星图像配准方法
- Fast uniform content-based satellite image registration using the scale-invariant feature transform descriptor
- 信息与电子工程前沿（英文） 2017年18卷第8期页码：1108-1116
- Affiliations：
  
  Electrical Engineering Department, University of Guilan, Rasht 41635-3756, Iran
  School of Electrical & Electronic Engineering, Malek Ashtar University of Technology, Tehran 15875-1774, Iran
- Author bio：
  
  Ali JAFARI, E-mail: iustuser@aut.ac.ir
- Funds：
- DOI：10.1631/FITEE.1500295
  中图分类号： TP391
- 收稿：2015-09-05，
  
  修回：2017-;8-;1，
  
  纸质出版：2017-08
- Accepted：
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Hamed BOZORGI, Ali JAFARI. 一种快速均匀的采用尺度不变特征变换描述符进行基于内容的卫星图像配准方法[J]. 信息与电子工程前沿（英文）, 2017,18(8):1108-1116.

Hamed BOZORGI, Ali JAFARI. Fast uniform content-based satellite image registration using the scale-invariant feature transform descriptor[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(8): 1108-1116.
Hamed BOZORGI, Ali JAFARI. 一种快速均匀的采用尺度不变特征变换描述符进行基于内容的卫星图像配准方法[J]. 信息与电子工程前沿（英文）, 2017,18(8):1108-1116. DOI： 10.1631/FITEE.1500295.

Hamed BOZORGI, Ali JAFARI. Fast uniform content-based satellite image registration using the scale-invariant feature transform descriptor[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(8): 1108-1116. DOI： 10.1631/FITEE.1500295.

摘要

基于内容的卫星图像配准是在遥感和图像处理领域的一大难题。受照度、旋转、来源差异的影响，该问题在多源遥感图像匹配中更为突出。尺度不变特征变换（scale-invariant feature transform

SIFT）算法是一种成功应用于卫星图像配准的算法。本地SIFT描述符被许多研究者应用于改进图像检索流程。尽管SIFT算法具有良好的稳定性，它在提取多源遥感中本地特征点的质量和数量上仍然具有一定的劣势。另外，SIFT算法提取的本地特征具有较高维度，导致计算过程耗时过长以及对保存相关信息的储存空间要求过高，而这两点也是在基于内容图像检索（content-based image retrieval

CBIR）的相关应用中的重要因素。本文介绍了一种在多源遥感中将本地SIFT特征转变为全局特征的新方法。通过在预处理阶段对图像进行对比度均衡化来提升SIFT本地特征点质量和数量。将参考数据库中每副图像的本地特征单独分为一类后，采用线性判别分析（linear discriminant analysis

LDA）方法将本地SIFT特征转变为全局特征，同时不为降低特征空间的维度。该方法可以显著减少计算时间和所需存储空间。将核函数应用于检定数据并映射，所测试特征点的检索率高达91.67%。

Abstract

Content-based satellite image registration is a difficult issue in the fields of remote sensing and image processing. The difficulty is more significant in the case of matching multisource remote sensing images which suffer from illumination

rotation

and source differences. The scale-invariant feature transform (SIFT) algorithm has been used successfully in satellite image registration problems. Also

many researchers have applied a local SIFT descriptor to improve the image retrieval process. Despite its robustness

this algorithm has some difficulties with the quality and quantity of the extracted local feature points in multisource remote sensing. Furthermore

high dimensionality of the local features extracted by SIFT results in time-consuming computational processes alongside high storage requirements for saving the relevant information

which are important factors in content-based image retrieval (CBIR) applications. In this paper

a novel method is introduced to transform the local SIFT features to global features for multisource remote sensing. The quality and quantity of SIFT local features have been enhanced by applying contrast equalization on images in a pre-processing stage. Considering the local features of each image in the reference database as a separate class

linear discriminant analysis (LDA) is used to transform the local features to global features while reducing dimensionality of the feature space. This will also significantly reduce the computational time and storage required. Applying the trained kernel on verification data and mapping them showed a successful retrieval rate of 91.67% for test feature points.

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references

B. Andre , , , T. Vercauteren , , , A.M. Buchner , , , 等 . . Learning semantic and visual similarity for endomicro-scopy video retrieval . . IEEE Trans. Med. Imag. , , 2012 . . 31 ( ( 6 ): ): 1276 - - 1288 . . DOI: 10.1109/TMI.2012.2188301 http://doi.org/10.1109/TMI.2012.2188301 . .

N. Arica , , , F.T.Y. Vural . . BAS: a perceptual shape descriptor based on the beam angle statistics . . Patt. Recogn. Lett. , , 2003 . . 24 ( ( 9-10 ): ): 1627 - - 1639 . . DOI: 10.1016/S0167-8655(03)00002-3 http://doi.org/10.1016/S0167-8655(03)00002-3 . .

S.A. Bakar , , , M.S. Hitam , , , Y. Wan , , , 等 . . Content-based image retrieval using SIFT for binary and greyscale images . . IEEE Int. Conf. on Signal and Image Applications , , 2013 . . p.83 - - 88 . . DOI: 10.1109/ICSIPA.2013.6707982 http://doi.org/10.1109/ICSIPA.2013.6707982 . .

S.K. Bhatia , , , A. Samal , , , P. Vadlamani . . RISE-SIMR: a robust image search engine for satellite image matching and retrieval . . Int. Symp. on Visual Computting , , 2007 . . p.245 - - 254 . . DOI: 10.1007/978-3-540-76856-2_24 http://doi.org/10.1007/978-3-540-76856-2_24 . .

D. Bhattacharya , , , K. Bhaskar . . Efficient aerial image matching algorithm for autonomous navigation of aerial vehicle . . Int. J. Sci. Eng. Technol. , , 2013 . . 2 ( ( 12 ): ): 1204 - - 1207 . . . .

P. Blanchart , , , M. Datcu . . A semi-supervised algorithm for auto-annotation and unknown structures discovery in satellite image databases . . IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. , , 2010 . . 3 ( ( 4 ): ): 698 - - 717 . . DOI: 10.1109/JSTARS.2010.2058794 http://doi.org/10.1109/JSTARS.2010.2058794 . .

R. Chandrakanth , , , J. Saibaba , , , G. Varadan , , , 等 . . A novel image fusion system for multisensor and multiband remote sensing data . . IETE J. Res. , , 2014 . . 60 ( ( 2 ): ): 168 - - 182 . . DOI: 10.1080/03772063.2014.914697 http://doi.org/10.1080/03772063.2014.914697 . .

L. Chu , , , S. Jiang , , , S. Wang , , , 等 . . Robust spatial consistency graph model for partial duplicate image retrieval . . IEEE Trans. Multim. , , 1996 . . 15 ( ( 8 ): ): 1982 - - 1996 . . DOI: 10.1109/TMM.2013.2270455 http://doi.org/10.1109/TMM.2013.2270455 . .

I. Dagher , , , N. Sallak , , , H. Hazim . . Face recognition using the most representative SIFT images . . Int. J. Signal Process. Imag. Process. Patt. Recogn. , , 2014 . . 7 ( ( 1 ): ): 225 - - 236 . . DOI: 10.14257/ijsip.2014.7.1.21 http://doi.org/10.14257/ijsip.2014.7.1.21 . .

F. Eugenio , , , F. Marqués . . Automatic satellite image georeferencing using a contour-matching approach . . IEEE Trans. Geosci. Remote Sens. , , 2003 . . 41 ( ( 12 ): ): 2869 - - 2879 . . DOI: 10.1109/TGRS.2003.817226 http://doi.org/10.1109/TGRS.2003.817226 . .

D. Goswami , , , S.K. Bhatia , , , A. Samal . . RISE: a robust image search engine . . IEEE Int. Conf. on Electron/Information Technology , , 2007 . . p.354 - - 359 . . DOI: 10.1109/EIT.2006.252181 http://doi.org/10.1109/EIT.2006.252181 . .

A. Irtazaa , , , M.A. Jaffarb , , , E. Aleisab . . Correlated networks for content based image retrieval . . Int. J. Comput. Intell. Syst. , , 2013 . . 6 ( ( 6 ): ): 1189 - - 1205 . . DOI: 10.1080/18756891.2013.823005 http://doi.org/10.1080/18756891.2013.823005 . .

B. Kupfer , , , N.S. Netanyahu , , , I. Shimshoni . . An efficient SIFT-based mode-seeking algorithm for sub-pixel registration of remotely sensed images . . IEEE Geosci. Remote Sens. Lett. , , 2015 . . 12 ( ( 2 ): ): 379 - - 383 . . DOI: 10.1109/LGRS.2014.2343471 http://doi.org/10.1109/LGRS.2014.2343471 . .

H. Li , , , X. Wang , , , J. Tang , , , 等 . . Combining global and local matching of multiple features for precise item image retrieval . . Multim. Syst. , , 2013 . . 19 ( ( 1 ): ): 37 - - 49 . . DOI: 10.1007/s00530-012-0265-1 http://doi.org/10.1007/s00530-012-0265-1 . .

J. Li , , , R.M. Narayanan . . Integrated spectral and spatial information mining in remote sensing imagery . . IEEE Trans. Geosci. Remote Sens. , , 2004 . . 42 ( ( 3 ): ): 673 - - 685 . . DOI: 10.1109/TGRS.2004.824221 http://doi.org/10.1109/TGRS.2004.824221 . .

Z. Li , , , U. Park , , , A.K. Jain . . A discriminative model for age invariant face recognition . . IEEE Trans. Inform. Forens. Secur. , , 2011 . . 6 ( ( 3 ): ): 1028 - - 1037 . . DOI: 10.1109/TIFS.2011.2156787 http://doi.org/10.1109/TIFS.2011.2156787 . .

G. Liu , , , X. Sun , , , K. Fu , , , 等 . . Aircraft recognition in high-resolution satellite images using coarse-to-fine shape prior . . IEEE Geosci. Remote. Sens. Lett. , , 2013 . . 10 ( ( 3 ): ): 573 - - 577 . . DOI: 10.1109/LGRS.2012.2214022 http://doi.org/10.1109/LGRS.2012.2214022 . .

D.G. Lowe . . Distinctive image features from scale-invariant keypoints . . Int. J. Comput. Vis. , , 2004 . . 60 ( ( 2 ): ): 91 - - 110 . . DOI: 10.1023/B:VISI.0000029664.99615.94 http://doi.org/10.1023/B:VISI.0000029664.99615.94 . .

A. Maloo , , , S.D. Thepade , , , H. Kekre . . CBIR feature vector dimension reduction with eigenvectors of covariance matrix using row, column and diagonal mean sequences . . Int. J. Comput. Appl. , , 2010 . . 3 ( ( 12 ): ): 39 - - 46 . . DOI: 10.5120/786-1114 http://doi.org/10.5120/786-1114 . .

I. Manuel , , , R.S. Tavares , , , J. Natal . . Computational Vision and Medical Image Processing Ⅳ , , : : London, UK CRC Press , , 2013 . . .

K. Meena , , , A. Suruliandi , , , R.R. Reena . . Face recognition based on local derivate ternary pattern . . IETE J. Res. , , 2014 . . 60 ( ( 1 ): ): 20 - - 32 . . DOI: 10.1080/03772063.2014.890811 http://doi.org/10.1080/03772063.2014.890811 . .

K. Mikolajczyk , , , C. Schmid . . A performance evaluation of local descriptors . . IEEE Trans. Patt. Anal. Mach. Intell. , , 2005 . . 27 ( ( 10 ): ): 1615 - - 1630 . . DOI: 10.1109/TPAMI.2005.188 http://doi.org/10.1109/TPAMI.2005.188 . .

V. Nileshsingh , , , N. Koli . . An overview of feature extraction methods in CBIR . . Int. J. Comput. Sci. Appl. , , 2010 . . 3 ( ( 2 ): ): 71 - - 76 . . . .

M. Okade , , , P.K. Biswas . . Improving video stabilization using multi-resolution MSER features . . IETE J. Res. , , 2014 . . 60 ( ( 5 ): ): 373 - - 380 . . DOI: 10.1080/03772063.2014.962627 http://doi.org/10.1080/03772063.2014.962627 . .

A. Sedaghat , , , M. Mokhtarzade , , , H. Ebadi . . Uniform robust scale-invariant feature matching for optical remote sensing images . . IEEE Trans. Geosci. Remote Sens. , , 2011 . . 49 ( ( 11 ): ): 4516 - - 4527 . . DOI: 10.1109/TGRS.2011.2144607 http://doi.org/10.1109/TGRS.2011.2144607 . .

A. Sedaghat , , , M. Mokhtarzade , , , H. Ebadi . . Image matching of satellite data based on quadrilateral control networks . . Photogr. Rec. , , 2012 . . 27 ( ( 140 ): ): 423 - - 442 . . DOI: 10.1111/j.1477-9730.2012.00699.x http://doi.org/10.1111/j.1477-9730.2012.00699.x . .

S. Singaravelan , , , D. Murugan . . Combined global–local specialized feature descriptor for content based image retrieval under noisy query . . Int. Conf. on Advanced Computing and Communication Systems , , 2013 . . p.1 - - 6 . . DOI: 10.1109/ICACCS.2013.6938716 http://doi.org/10.1109/ICACCS.2013.6938716 . .

R.O. Stehling , , , M.A. Nascimento , , , A.X. Falco . . A compact and efficient image retrieval approach based on border/interior pixel classification . . Proc. 11th Int. Conf. on Information and Knowledge Management , , 2002 . . p.102 - - 109 . . DOI: 10.1145/584792.584812 http://doi.org/10.1145/584792.584812 . .

R.S. Torres , , , E.M. Picado , , , A.X. Falcao , , , 等 . . Effective image retrieval by shape saliences . . 16th Brazilian Symp. on Computer Graphics and Image Processing , , 2003 . . p.167 - - 174 . . DOI: 10.1109/SIBGRA.2003.1241005 http://doi.org/10.1109/SIBGRA.2003.1241005 . .

R.E.G. Valenzuela , , , W.R. Schwartz , , , H. Pedrini . . Dimensionality reduction through PCA over SIFT and SURF descriptors . . IEEE 11th Int. Conf. on Cybernetic Intelligent Systems , , 2012 . . p.58 - - 63 . . DOI: 10.1109/CIS.2013.6782160 http://doi.org/10.1109/CIS.2013.6782160 . .

M.A. Veganzones , , , J.O. Maldonado , , , M. Grana . . On content-based image retrieval for hyper spectral remote sensing images . . In : Graa M, Duro, R.J. (Eds.), Computational Intelligence for Remote Sensing. Springer-Verlag, Berlin, Germany , , 2008 . . p.125 - - 144 . . DOI: 10.1007/978-3-540-79353-3_5 http://doi.org/10.1007/978-3-540-79353-3_5 . .

G.J. Wen , , , J.J. Lv , , , W. Yu , , , 等 . . A high-performance feature-matching method for image registration by combining spatial and similarity information . . IEEE Trans. Geosci. Remote Sens. , , 2008 . . 46 ( ( 4 ): ): 1266 - - 1277 . . DOI: 10.1109/TGRS.2007.912443 http://doi.org/10.1109/TGRS.2007.912443 . .

Y.Y. Wu , , , Y.Q. Wu . . Shape based image retrieval using combining global and local shape features . . 2nd Int. Congress on Image and Signal Processing , , 2009 . . p.12 - - 20 . . DOI: 10.1109/CISP.2009.5304693 http://doi.org/10.1109/CISP.2009.5304693 . .

I. Yu , , , D. Zhang , , , E.J. Holden . . A fast and fully automatic registration approach based on point features for multi-source remote-sensing images . . Comput. Geosci. , , 2008 . . 34 ( ( 7 ): ): 838 - - 848 . . DOI: 10.1016/j.cageo.2007.10.005 http://doi.org/10.1016/j.cageo.2007.10.005 . .

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