资源三号卫星数据融合的核线影像生成

doi:10.3969/j.issn.0255-8297.2014.01.013

Journal of Applied Sciences ›› 2014, Vol. 32 ›› Issue (1): 79-84.doi: 10.3969/j.issn.0255-8297.2014.01.013

• Signal and Information Processing • Previous Articles Next Articles

Generation of Epipolar Images from ZY-3 Satellite Fused Data

JIA Yong-hong1,2, ZHU Meng-hua1, DIAO Yong-zhou1, GUAN Yu-juan3

1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
2. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,
Wuhan University, Wuhan 430079, China
3. Periodicals Agency, Shanghai University, Shanghai 200444, China

Received:2013-09-11 Revised:2013-11-13 Online:2014-01-31 Published:2013-11-13

Abstract

Abstract: A high-resolution color epipolar image generation method is proposed based on image fusion. A pair of panchromatic stereo images is fused with registered multispectral images. Approximate epipolar images based on projection reference plane (PRP) are then generated according to the practical epipolarity model for linear pushbroom satellite stereo-imagery. Thus, generation of high-resolution color epipolar images is realized.Experimental results of the ZY-3 data show that the proposed method has the same measurement performance in revealing true terrain features, and can provide more information and better visual interpretation.

Key words: ZY-3, image fusion, color stereo visualization, epipolar image

CLC Number:

TN911.73

JIA Yong-hong1,2, ZHU Meng-hua1, DIAO Yong-zhou1, GUAN Yu-juan3. Generation of Epipolar Images from ZY-3 Satellite Fused Data[J]. Journal of Applied Sciences, 2014, 32(1): 79-84.

References

[1] 戴晓爱，杨武年，刘汉湖. 遥感影像三维可视化及在腾冲机场建设中的应用研究[J]. 遥感信息，2008，2：60-63.

DAI Xiaoai,YANG Wunian, LIU Hanhu, et al.3D visualization of remote sensing images with the application in Tengchong airport construction[J]. Remote Sensing Information,2008,2:60-63.

[2] LATI R N,MANVICH A, FILIN S.Three-dimensional image-based modelling of linear features for plant biomass estimation[J]. International Journal of Remote Sensing, 2013, 34(17): 6135-6151.

[3] STAL C, TACK F .Airborne photogrammetry and lidar for DSM extraction and 3D change detection over an urban area-a comparative study[J]. International Journal of Remote Sensing, 2013, 34(4): 1087-1110.

[4] FABIO R. Image-based 3D modeling: a review[J]. Photogrammetry Record, 2006, 21(115):269- 291.

[5] TOUTIN T. DSM generation and evaluation from QuickBird stereo imagery with 3D physical modeling[J].International Journal of Remote Sensing,2004,25(22):5181-5193.

[6] 张祖勋，周月琴. 用拟合法进行SPOT影像的近似核线排列[J]. 武汉测绘科技大学学报，1989，14 (2): 20-24.

ZHANG Zuxun, ZHOU Yueqin. A new approach to arrange the approximate epipolar lines for SPOT images [J]. Journal of Wuhan Technical University of Surveying and Mapping,1989, 14 (2): 20-24.

[7] OH Jaehong, LEE Won Hee,TOTH Charles K. A piecewise approach to epipolar resampling of pushbroom satellite images based on RPC[J].Photogrammetric Engineering and Remote Sensing,2010,76(12): 1353-1363.

[8] WANG Mi, HU Fen, LI Jonathan. Epipolar resampling of linear pushbroom satellite imagery by a new epipolarity model[J]. ISPRS Journal of Photogrammetry and Remote Sensing,2011,66(3): 347-355.

[9] 张永军，丁亚洲. 基于有理多项式系数的线阵卫星近似核线影像的生成[J]. 武汉大学学报•信息科学版，2009, 34(9): 1068-1071.

ZHANG Yongjun,DING Yazhou.Approximate epipolar image generation of linear array satellite Stereos with rational polynomial coefficients[J].Geomatics and Information Science of Wuhan University,2009,34(9):1068-1071.

[10] Takimoto Rogério Yugo, Neves André Challella Das,Martins Thiago De Castro et al.Automatic epipolar geometry recovery using two images[C]//Proceedings of the 18th IFAC World Congress,2011,18(1):3980-3985.

[11] 张永生，巩丹超，刘军.高分辨率遥感卫星应用:成像模型、处理算法及应用技术[M].北京:科学出版社，2004.

[12] ZhANG Yun, A new merging method and its spectral and spatial effect, International Journal of Remote Sensing, 1999, 20(10): 2003-2014.

Generation of Epipolar Images from ZY-3 Satellite Fused Data

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 5

Recommended Articles

Metrics

Comments

[1]	LOU Jian-qiang, DAI Wen-zhan, LI Jun-feng. Adaptive Fusion Algorithm for Medical Images Using Non-subsampled Contourlet Transform [J]. Journal of Applied Sciences, 2017, 35(6): 763-774.
[2]	LIU Yang, XU Hong-ping, YI Hang, SHI Qing-ping, XIA Wei-qiang, KANG Jian. Hyperspectral and Multi-spectral Data Fusion Based on Constraint CNMF [J]. Journal of Applied Sciences, 2016, 34(6): 651-660.
[3]	TANG Zhen-hua, LIANG Cong, OU Cheng, HUANG Xu-fang, QIN Tuan-fa. Multi-focus Image Fusion Based on Texture Features in DCT Domain [J]. Journal of Applied Sciences, 2015, 33(6): 628-636.
[4]	PAN Yu, WANG Jing, SUN Quan-sen, XIA De-shen. Fusion Strategy of Multi-scale Image Decomposition Combined with Image Quality Evaluation [J]. Journal of Applied Sciences, 2011, 29(2): 159-168.
[5]	JIA Yong-hong1;2, ZHANG Xiao-ping1, JIA Shi-feng3, ZHANG Qian1. Improving High Frequency Modulation Image Fusion with Modulation Transfer Function Filters [J]. Journal of Applied Sciences, 2010, 28(4): 361-366.