基于聚类的非共线多CCD遥感图像误匹配点去除方法

黄利; 尤红建

doi:10.11999/JEIT170043

基于聚类的非共线多CCD遥感图像误匹配点去除方法

doi: 10.11999/JEIT170043

黄利¹,
尤红建¹

基金项目:

国家自然科学基金(41001214)

计量
- 文章访问数: 1128
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- 被引次数: 0
出版历程
- 收稿日期: 2017-01-12
- 修回日期: 2017-05-11
- 刊出日期: 2017-10-19

A Method of Mismatching Points Elimination of Non-collinear Multiple CCDs Remote Sensing Images Based on Clustering Algorithm

HUANG Li¹,
YOU Hongjian¹

Funds:

The National Nature Science Foundation of China (41001214)

摘要

摘要: 针对非共线多CCD遥感图像匹配点的分布特点，该文提出一种基于聚类的误匹配点去除方法。首先，根据匹配点的沿轨方向偏移量曲线，获取匹配点的多维特征向量。然后，对匹配点集进行聚类处理，将所有点聚为一个类簇，最后根据簇半径序列曲线的变化趋势区分正确点和误匹配点。通过天绘1号02星全色遥感图像的实验和处理，结果表明在误匹配点去除和正确匹配点保留方面所提算法与其它方法相比具有更好性能。
- 遥感图像 /
- 非共线 /
- 电荷耦合器件 /
- 误匹配点 /
- 聚类
Abstract: Considering the distribution characteristic of the matching points of non-collinear multiple Charge- Coupled Device (CCD) remote sensing images, a new method based on clustering to eliminate the mismatching points is proposed. First, the multi-dimensionality feature vector of matching points is obtained on the basis of the disparity curve in along-track direction. Second, all points are clustered to one cluster. Finally, the points are marked off according to the variation trend of the semi-diameter of the cluster. The experiment results running on the panchromatic image of mapping satellite 1-02 show that the method has better performance on eliminating the mismatched points and keeping the matched points.
- Remote sensing images /
- Non-collinear /
- Charge-Coupled Device (CCD) /
- Mismatching points /
- Clustering

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参考文献(24)

TANG Xinming, HU Fen, WANG Mi, et al. Inner FoV stitching of spaceborne TDI CCD images based on sensor geometry and projection plane in object space[J]. Remote Sensing, 2014, 6(7): 6386-6406. doi: 10.3390/rs6076386.

SUN Tao, LONG Hui, and LIU Baocheng. Application of attitude jitter detection based on short-time asynchronous images and compensation methods for Chinese mapping satellite-1[J]. Optics Express, 2015, 23(2): 1395-1410. doi: 10.1364/OE.23.001395.

潘俊, 胡芬, 王密, 等. 一种非共线TDI CCD成像数据内视场拼接方法[J]. 测绘学报, 2014, 43(11): 1165-1173. doi: 10. 13485/jcnki.11-2089.2014.0180.

PAN Jun, HU Fen, WANG Mi, et al. An inner FOV stistching method for non-collinear TDI CCD inages[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(11): 1165-1173. doi: 10.13485/jcnki.11-2089.2014.0180.

李世威, 刘团结, 王宏琦. 基于图像匹配的CBERS-02B卫星HR相机图像拼接方法[J]. 遥感技术与应用, 2009, 24(3): 374-378.

LI Shiwei, LIU Tuanjie, and WANG Hongqi. Image mosaic for TDICCD pushbroom camera image based on image matching[J]. Remote Sensing Technology and Application, 2009, 24(3): 374-378.

ZITOVA B and 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.

FISCHLER M A and BOLLES R C. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography[J]. Communication ACM, 1981, 24(6): 381-395. doi: 10.1145/ 358669.358692.

LI Bin, MING Delie, YAN Wenwen, et al. Image matching based on two-column histogram hashing and improved RANSAC[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 11(8): 783-787. doi: 10.1109/LGRS.2013.2295115.

马旭燕, 袁媛, 汪承义, 等. 高分辨率遥感图形配准控制点均匀化算法[J]. 遥感信息, 2016, 31(3): 24-30. doi: 10.3969/ j.issn.1000-3177.2016.03.004.

MA Xuyan, YUAN yuan, WANG Chengyi, et al. A control point uniformization algorithm for high-resolution remote sensing image registration[J]. Remote Sensing Information, 2016, 31(3): 24-30. doi: 10.3969/j.issn.1000-3177.2016.03.004.

吴君涵, 余柏蒗, 彭晨, 等. 基于移动激光扫描点云数据和遥感图像的建筑物三维模型快速建模方法[J]. 测绘与空间地理信息, 2016, 39(1): 25-34.

WU Junhan, YU Bailang, PENG Chen, et al. A metnod for fast modeling of 3D building from mobile laser scanning point clouds and remote sensing data[J]. Geomatics Spatial Information Technology, 2016, 39(1): 25-34.

ZAHRA H and MEHDI N. Image registration based on SIFT features and adaptive RANSAC transform[C]. International Conference on Communication and Signal Processing, India, 2016: 1087-1091.

龙小祥, 王小燕, 钟惠敏. 星载焦面视场拼接TDI CCD相机成像质量及处理方法分析[J]. 中国科学: 信息科学, 2011, 41(增刊): 19-31.

LONG Xiaoxiang, WANG Xiaoyan, and ZHONG Huimin. Analysis of image quality and processing method of space- borne focal plane view splicing TDI CCD camera[J]. Science of China: Information of Science, 2011, 41(Suppl.): 19-31.

胡芬. 三片非共线TDI CCD成像数据内视场拼接理论与算法研究[D]. [博士论文], 武汉大学, 2010: 63.

HU F. Research on inner FOV stitching theories and algorithms for sub-images of three non-collinear TDI CCD chips[D]. [Ph.D. dissertation], Wuhan University, 2010: 63.

禄金波, 何斌. TDICCD相机大视场多通道遥感图像自动拼接方法[J]. 空间科学学报, 2012, 32(1): 154-160.

LU Jinbo and HE Bin. Automatic mosaic method of large field view and multi-channel remote sensing images of TDICCD cameras[J]. Chinese Journal of Space Science, 2012, 32(l): 154-160.

JAIN A K. Data clustering: 50 years beyond k-means[C]. 19th International Conference on Pattern Recognition, Tampa, USA, 2010: 651-666. doi: 10.1016/j.patrec.2009.09. 011.

张顺龙, 库涛, 周浩. 针对多聚类中心大数据集的加速K-means聚类算法[J]. 计算机应用研究, 2016, 33(2): 413-416. doi: 10.3969/j.issn.1001-3695.2016.02.021.

ZHANG Shunlong, KU Tao, and ZHOU Hao. Accelerate K-means for multi-center clustering of big datasets[J]. Application Research of Computers, 2016, 33(2): 413-416. doi: 10.3969/j.issn.1001-3695.2016.02.021.

SINHA A and JANA P K. A novel K-Means based clustering algorithm for big data[C]. International Conference on Advances in Computing, Communications and Informatics (ICACCI), Jaipur, India, 2016: 1875-1879. doi: 10.1109/ ICACCI.2016.7732323.

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