A NOVEL ALGORITHM OF MULTI-SENSOR IMAGE FUSION BASED ON WAVELET PACKET TRANSFORM

被引:3
作者
Cheng Yinglei Zhao Rongchun Hu Fuyuan Li Ying Department of Computer Science and Engineering Northwestern Polytechnical University Xian China The Telecommunication Engineering Institute Air Force Engineering University Xian China [710072 ,710077 ]
机构
关键词
D O I
暂无
中图分类号
TN911.73 [图像信号处理];
学科分类号
摘要
<正>In order to enhance the image information from multi-sensor and to improve the abilities of the information analysis and the feature extraction, this letter proposed a new fusion approach in pixel level by means of the Wavelet Packet Transform (WPT). The WPT is able to decompose an image into low frequency band and high frequency band in higher scale. It offers a more precise method for image analysis than Wavelet Transform (WT). Firstly, the proposed approach employs HIS (Hue, Intensity, Saturation) transform to obtain the intensity component of CBERS (China-Brazil Earth Resource Satellite) multi-spectral image. Then WPT transform is employed to decompose the intensity component and SPOT (Systeme Pour I'Observation de la Therre ) image into low frequency band and high frequency band in three levels. Next, two high frequency coefficients and low frequency coefficients of the images are combined by linear weighting strategies. Finally, the fused image is obtained with inverse WPT and inverse HIS. The results show the new approach can fuse details of input image successfully, and thereby can obtain a more satisfactory result than that of HM (Histogram Matched)-based fusion algorithm and WT-based fusion approach.
引用
收藏
页码:314 / 317
页数:4
相关论文
共 50 条
[41]   Moving Image Information-fusion-analysis Algorithm based on Multi-sensor [J].
Wei S. ;
Wang H. .
IEIE Transactions on Smart Processing and Computing, 2023, 12 (04) :300-311
[42]   A Novel Visible Image Fusion Algorithm based on Downsampling Fractional Wavelet Transform and Shearlet Transform [J].
Ji, Qiang ;
Zhao, Haoguang .
PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON COMMUNICATION AND ELECTRONICS SYSTEMS (ICCES), 2016, :913-917
[43]   Multi-sensor Image Fusion Algorithm Based on Multi-Objective Particle Swarm Optimization Algorithm [J].
Xie Xiao-zhu ;
Xu Ya-wei .
LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017, 2017, 10605
[44]   The Study of Image Fusion Method Based On Wavelet-Packet Transform [J].
Guo Jianxing ;
Ma Junqiang ;
Lui Songlin .
2009 WRI WORLD CONGRESS ON SOFTWARE ENGINEERING, VOL 2, PROCEEDINGS, 2009, :528-531
[45]   Image fusion based on multi-wavelet transform [J].
Tang, Guoliang ;
Pu, Jiexin ;
Huang, Xinhan .
IEEE ICMA 2006: PROCEEDING OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS, 2006, :2058-+
[46]   Oil exploration oriented multi-sensor image fusion algorithm [J].
Zhang Xiaobing ;
Zhou Wei ;
Song Mengfei .
OPEN PHYSICS, 2017, 15 (01) :188-196
[47]   Novel Adaptive Beamforming Algorithm Based on Wavelet Packet Transform [J].
张小飞 ;
徐大专 .
Journal of Southwest Jiaotong University, 2005, (01) :28-34
[48]   Wavelet-Based Multi-Sensor Optimal Information Fusion [J].
Cai, M. ;
Li, J. X. .
PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRIAL ENGINEERING (AIIE 2015), 2015, 123 :523-526
[49]   Remote sensing image fusion method based on PCA transform and wavelet packet transform [J].
Cao, W ;
Li, BC ;
Zhang, Y .
PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS & SIGNAL PROCESSING, PROCEEDINGS, VOLS 1 AND 2, 2003, :976-981
[50]   Multi-Sensor Image Fusion Based on Moment Calculation [J].
Pramanik, Sourav ;
Bhattacharjee, Debotosh .
2012 2ND IEEE INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND GRID COMPUTING (PDGC), 2012, :447-451