基于凸集投影的高分四号卫星影像超分辨率重建

doi:10.11947/j.AGCS.2017.20170070

测绘学报 ›› 2017, Vol. 46 ›› Issue (8): 1026-1033.doi: 10.11947/j.AGCS.2017.20170070

基于凸集投影的高分四号卫星影像超分辨率重建

许丽娜, 何鲁晓

中国地质大学(武汉)地球物理与空间信息学院, 湖北武汉 430074

收稿日期:2017-02-16 修回日期:2017-05-04 出版日期:2017-08-20 发布日期:2017-09-01
通讯作者: 何鲁晓 E-mail:heluxiao@foxmail.com
作者简介:许丽娜(1975-),女,博士,副教授,研究方向为高空间分辨率遥感影像处理与应用。E-mail:silvaxu@sina.com

GF-4 Images Super Resolution Reconstruction Based on POCS

XU Lina, HE Luxiao

Institute of Geophysics and Geomatics, China University of Geosciences(Wuhan), Wuhan 430074, China

Received:2017-02-16 Revised:2017-05-04 Online:2017-08-20 Published:2017-09-01

摘要/Abstract

摘要： 基于凸集投影（projection on convex sets， POCS）对GF-4数据进行超分辨率重建处理。利用能量连续降减法构造参考帧以减少迭代次数，提高算法效率；利用Vandewalle配准法对图像块进行运动估计从而获取精确的运动参数有利于图像的分块处理。通过对GF-4真实数据进行试验与分析，表明超分图像结果的清晰度与序列影像帧数呈正相关；信噪比与帧数呈负相关。应用5帧数据进行超分重建，清晰度（平均梯度）从7.803提高到14.386；信噪比会略有下降，从3.411下降到3.336。试验表明该方法可以有效提高图像清晰度，增加图像细节信息，提升图像判别能力，扩展数据的应用范围。

关键词: 高分四号, 超分辨率, 凸集投影, 能量连续降减法, Vandewalle配准法

Abstract: The super resolution reconstruction of GF-4 is made by projection on convex sets (POCS). Papoulis-Gerchberg is used to construct reference frame which can reduce iteration and improve algorithm efficiency.Vandewalle is used to estimate motion parameter which is benefit to block process. Tested and analyzed by real GF-4 series images, it shows that sharpness of super resolution result is positive correlatie to frame amount, and signal to noise ratio (SNR) is negative correlate to frame amount. After processing by 5 frames, information entropy (IE) changes little; sharpness (average gradient) increases from 7.803 to 14.386; SNR reduces a little, from 3.411 to 3.336. The experiment shows that after super resolution reconstruction, sharpness and detail information of results can be greatly improved.

Key words: GF-4, super resolution, POCS, Papoulis-Gerchberg, Vandewalle

中图分类号:

P237

许丽娜, 何鲁晓. 基于凸集投影的高分四号卫星影像超分辨率重建[J]. 测绘学报, 2017, 46(8): 1026-1033.

XU Lina, HE Luxiao. GF-4 Images Super Resolution Reconstruction Based on POCS[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(8): 1026-1033.

参考文献

[1] 徐文, 龙小祥, 李庆鹏, 等. "高分四号"卫星影像辐射与几何精度评价[J]. 航天返回与遥感, 2016, 37(4):16-25. XU Wen, LONG Xiaoxiang, LI Qingpeng, et al. Image Radiometric and Geometric Accuracy Evaluation of GF-4 Satellite[J]. Spacecraft Recovery & Remote Sensing, 2016, 37(4):16-25.
[2] HARRIS J L. Diffraction and Resolving Power[J]. Journal of the Optical Society of America (1917-1983), 1964, 54(7):931-936.
[3] GOODMAN J W. Introduction to Fourier Optics[M]. New York:McGraw-Hill, 1968.
[4] TSAI R Y, HUANG T S. Multiple Frame Image Restoration and Registration[C]//Advances in Computer Vision and Image Processing. Greenwich, CY:JAI Press Inc., 1984.
[5] 陈健. 基于POCS的红外弱小目标超分辨率复原算法研究[D]. 长春:长春光学精密机械与物理研究所, 2014. CHEN Jian. Research on Infrared Dim-small Target Super-resolution Arithmetic Based on POCS[D]. Changchun:Changchun Institute of Optics, Fine Mechanics and Physics, 2014.
[6] UR H, GROSS D. Improved Resolution from Subpixel Shifted Pictures[J]. CVGIP:Graphical Models and Image Processing, 1992, 54(2):181-186.
[7] IRANI M, PELEG S. Improving Resolution by Image Registration[J]. CVGIP:Graphical Models and Image Processing, 1991, 53(3):231-239.
[8] SCHULTZ R R, STEVENSON R L. A Bayesian Approach to Image Expansion for Improved Definition[J]. IEEE Transactions on Image Processing, 1994, 3(3):233-242.
[9] STARK H, OSKOUI P. High-resolution Image Recovery from Image:Plane Arrays, Using Convex Projections[J]. Journal of the Optical Society of America A, 1989, 6(11):1715-1726.
[10] YOULA D C, WEBB H. Image Restoration by the Method of Convex Projections:Part 1:Theory[J]. IEEE Transactions on Medical Imaging, 1982, 1(2):81-94.)
[11] ELAD M, FEUER A. Restoration of a Single Superresolution Image from Several Blurred, Noisy, and Undersampled Measured Images[J]. IEEE Transactions on Image Processing, 1997, 6(12):1646-1658.
[12] 朱红, 宋伟东, 谭海, 等. 多尺度细节增强的遥感影像超分辨率重建[J]. 测绘学报, 2016, 45(9):1081-1088. DOI:10.11947/j.AGCS.2016.20150451. ZHU Hong, SONG Weidong, TAN Hai, et al. Remote Sensing Images Super Resolution Reconstruction Based on Multi-scale Detail Enhancement[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(9):1081-1088. DOI:10.11947/j.AGCS.2016.20150451.
[13] YANG Jianchao, WRIGHT J, HUANG T, et al. Image Super-resolution as Sparse Representation of Raw Image Patches[C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Anchorage, AK:IEEE, 2008:1-8.
[14] 钟九生, 江南, 胡斌, 等. 一种遥感影像超分辨率重建的稀疏表示建模及算法[J]. 测绘学报, 2014, 43(3):276-283. DOI:10.13485/j.cnki.11-2089.2014.0040. ZHONG Jiusheng, JIANG Nan, HU Bin, et al. A Super-resolution Model and Algorithm of Remote Sensing Image Based on Sparse Representation[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(3):276-283. DOI:10.13485/j.cnki.11-2089.2014.0040.
[15] FAN Chong, ZHU Jianjun, GONG Jianya, et al. POCS Super-resolution Sequence Image Reconstruction Based on Improvement Approach of Keren Registration Method[C]//Proceedings of the 6th International Conference on Intelligent Systems Design and Applications. Jinan:IEEE, 2006:333-337.
[16] 庞亚红, 毛幼菊. 一种基于凸集投影(POCS)的数字图像超分辨率重建算法[J]. 计算机工程与应用, 2005, 41(4):69-71. PANG Yahong, MAO Youju. A Super-resolution Image Reconstruction Algorithm on the Theory of Projection Onto Convex Sets(POCS)[J]. Computer Engineering and Applications, 2005, 41(4):69-71.
[17] 张砚, 徐昆, 李勇. 基于外存和凸集投影法的遥感图像超分辨率方法[J]. 清华大学学报(自然科学版), 2010, 50(10):1743-1746, 1756. ZHANG Yan, XU Kun, LI Yong. Remote Sensing Image Super-resolution Based on POCS and Out-of-core[J]. Journal of Tsinghua University (Science & Technology), 2010, 50(10):1743-1746, 1756.
[18] SU Binghua, JIN Weiqi. POCS-MPMAP Based Super-resolution Image Restoration[J]. Acta Photonica Sinica, 2003, 32(4):502-504.
[19] PAPOULIS A. A New Algorithm in Spectral Analysis and Band-limited Extrapolation[J]. IEEE Transactions on Circuits and Systems, 1975, 22(9):735-742.
[20] 穆绍硕, 张叶, 贾平. 一种改进Papoulis-Gerchberg的多幅超分辨重构方法[J]. 哈尔滨工业大学学报, 2015, 47(10):118-123. MU Shaoshuo, ZHANG Ye, JIA Ping. An Improved Papoulis-Gerchberg Algorithm for Multiframe Super-resolution Reconstruction[J]. Journal of Harbin Institute of Technology, 2015, 47(10):118-123.
[21] GERCHBERG R W. Super-resolution Through Error Energy Reduction[J]. Optica Acta:International Journal of Optics, 1974, 21(9):709-720.
[22] VANDEWALLE P, SÜSSTRUNK S, VETTERLI M. A Frequency Domain Approach to Registration of Aliased Images with Application to Super-resolution[J]. EURASIP Journal on Advances in Signal Processing, 2006, 2006(1):071459.
[23] 陈岳军, 孙广玲, 姚恒. 结合小波金字塔的空频域亚像素图像配准[J]. 上海大学学报(自然科学版), 2012, 18(4):342-348. CHEN Yuejun, SUN Guangling, YAO Heng. Hybrid Spatial-frequency Domain Sub-pixel Image Registration with Wavelet Pyramid[J]. Journal of Shanghai University (Natural Science), 2012, 18(4):342-348.
[24] 陈超, 江涛, 徐文学. 基于平均梯度的多聚焦图像融合方法研究[J]. 山东建筑大学学报, 2009, 24(2):133-137. CHEN Chao, JIANG Tao, XU Wenxue. Research on Multi-focus Image Fusion Methods Based on Mean Gradient[J]. Journal of Shandong Jianzhu University, 2009, 24(2):133-137.
[25] 吴琼. 可见光图像超分辨率客观评价方法研究[D]. 北京:首都师范大学, 2009. WU Qiong. Scientific Super-resolution Objective Evaluation Index and Method System[D]. Beijing:Capital Normal University, 2009.
[26] 傅鹏, 孙权森, 纪则轩, 等. 一种遥感图像信噪比评估和度量准则[J]. 测绘学报, 2013, 42(4):559-567. FU Peng, SUN Quansen, JI Zexuan, et al. A Method of SNR Estimation and Comparison for Remote Sensing Images[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(4):559-567.

基于凸集投影的高分四号卫星影像超分辨率重建

GF-4 Images Super Resolution Reconstruction Based on POCS

PDF

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 9

编辑推荐

Metrics

本文评价

[1]	卜丽静, 郑新杰, 张正鹏. 顾及运动估计误差的“凝视”卫星视频运动场景超分辨率重建[J]. 测绘学报, 2020, 49(2): 214-224.
[2]	戴玉超, 张静, Fatih PORIKLI, 何明一. 深度残差网络的多光谱遥感图像显著目标检测[J]. 测绘学报, 2018, 47(6): 873-881.
[3]	王密, 程宇峰, 常学立, 龙小祥, 李庆鹏. 高分四号静止轨道卫星高精度在轨几何定标[J]. 测绘学报, 2017, 46(1): 53-61.
[4]	朱红, 宋伟东, 谭海, 王竞雪. 多尺度细节增强的遥感影像超分辨率重建[J]. 测绘学报, 2016, 45(9): 1081-1088.
[5]	皮英冬, 杨博, 李欣. 基于有理多项式模型的GF4卫星区域影像平差处理方法及精度验证[J]. 测绘学报, 2016, 45(12): 1448-1454.
[6]	朱建军, 樊东昊, 周璀, 周靖鸿. 积分型非线性平差模型及其在超分辨率图像重建中的应用[J]. 测绘学报, 2015, 44(7): 747-752.
[7]	钟九生江南胡斌胡秋翔. 一种遥感影像超分辨率重建的稀疏表示建模及算法[J]. 测绘学报, 2014, 43(3): 276-283.
[8]	韩文超,田庆久,陆应诚. 多光谱遥感亚像元定位的空间引力算法研究[J]. 测绘学报, 2011, 40(2): 169-174.
[9]	张平. 合成孔径雷达空间变迹带宽外推超分辨算法[J]. 测绘学报, 2010, 39(1): 0-82.