Comments on multisensor image fusion techniques

被引：0

作者：

Mao, Shi-Yi ^{[1
]}

Zhao, Wei ^{[1
]}

机构：

[1] Dept. of Electron. Eng., Beijing Univ. of Aero. and Astron., Beijing 100083, China

来源：

| 2002年 / Beijing University of Aeronautics and Astronautics (BUAA)卷 / 28期

关键词：

Performance - Sensor data fusion;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Multisensor image fusion is included in multisensor information fusion and has been applied widely. The techniques of image fusion are different from general information fusion techniques because of the particularity of images. The development condition about the multisensor image fusion is introduced firstly. Secondly, the main steps in image fusion process are described and the combinations of different sensors are given. The main image fusion methods, including multiresolution image fusion methods, methods based on wavelet and false color methods etc., are discussed. The performance of every method is analyzed qualitatively. The criteria how to evaluate image fusion method are given and the development directions of image fusion are pointed out finally.

引用

页码：512 / 518

共 50 条

[31] Sequence comparison techniques for multisensor data fusion and target recognition
Libby, EW
Maybeck, PS
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1996, 32 (01) : 52 - 65
[32] Multisensor data fusion using fuzzy-association techniques
Tummala, M
Midwood, SA
Glenn, IN
40TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1 AND 2, 1998, : 953 - 956
[33] Image Recognition Method of Agricultural Pests Based on Multisensor Image Fusion Technology
Zeng, Xianfeng
Huang, Changjiang
Zhan, Liuchun
ADVANCES IN MULTIMEDIA, 2022, 2022
[34] Multisensor image fusion in remote sensing: concepts, methods and applications
Pohl, C
van Genderen, JL
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (05) : 823 - 854
[35] Application of the multisensor image fusion fuzzied algorithm in target recognition
Liu, Yuan
Xie, Weixin
Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University, 2000, 27 (01): : 5 - 8
[36] Multisensor Image Fusion and Enhancement in Spectral Total Variation Domain
Zhao, Wenda
Lu, Huimin
Wang, Dong
IEEE TRANSACTIONS ON MULTIMEDIA, 2018, 20 (04) : 866 - 879
[37] Adaptive Fusion Algorithm of Multisensor Image in Nonsubsampled Contourlet Domain
Yang, Xiaohui
PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON WIRELESS NETWORKS AND INFORMATION SYSTEMS, 2009, : 334 - 337
[38] Fast image registration for multisensor fusion using graphics hardware
Yoo, Seung-Hun
Lee, Tae-Dong
Choi, Ki-Young
Jeong, Chang-Sung
2008 IEEE INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS, VOLS 1 AND 2, 2008, : 476 - 480
[39] An assessment of pyramid-based multisensor image data fusion
Aiazzi, B
Alparone, L
Baronti, S
Carlá, R
IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING IV, 1998, 3500 : 237 - 248
[40] An Adaptive Multisensor Image Fusion Method Based on Monogenic Features
Ji, Xiuxia
Cheng, Xiaochun
IEEE SENSORS JOURNAL, 2021, 21 (14) : 15598 - 15606

← 1 2 3 4 5 →