Journal of Jilin University(Engineering and Technology Edition) ›› 2021, Vol. 51 ›› Issue (5): 1775-1784.doi: 10.13229/j.cnki.jdxbgxb20200573
Xiong-fei LI1,2(),Jia-jing WU1,2,Xiao-li ZHANG1,2(),Ze-yu WANG2,Yun-cong FENG2,3
CLC Number:
1 | Liu X Y, Liu Q J, Wang Y H. Remote sensing image fusion based on two-stream fusion network[J]. Information Fusion, 2020, 55: 1-15. |
2 | Sun J. A study of PCA image fusion techniques on remote sensing[C]∥International Conference on Space Information Technology. International Society for Optics and Photonics, 2005: 739-744. |
3 | Hassan G. A review of remote sensing image fusion methods[J]. Information Fusion, 2016, 32: 75-89. |
4 | Leung Y, Liu J, Zhang J. An improved adaptive intensity-hue-saturation method for the fusion of remote sensing images[J]. IEEE Geoscience & Remote Sensing Letters, 2013, 11(5): 985-989. |
5 | 包磊, 徐其志. 基于PCA变换和光谱补偿的遥感影像融合方法[J]. 吉林大学学报: 工学版, 2013, 43(): 88-91. |
Bao Lei, Xu Qi-zhi. Spectrum-keeping algorithm for fusing based on PCA[J]. Journal of Jilin University(Engineering and Technology Edition), 2013, 43(Sup.1): 88-91. | |
6 | Tu T M, Lee Y C, Chang C P, et al. Adjustable intensity-hue-saturation and Brovey transform fusion technique for IKONOS/QuickBird imagery[J].Optical Engineering, 2005, 44(11): 116201. |
7 | Candra D S. Analysis of SPOT-6 data fusion using Gram-Schmidt spectral sharpening on rural areas[J]. International Journal of Remote Sensing & Earth Sciences, 2013, 10(2): 84-89. |
8 | Shahdoosti H R, Ghassemian H. Spatial PCA as a new method for image fusion[C]∥Csi International Symposium on Artificial Intelligence and Signal Processing,Shiraz, Iran, 2012: 90-94. |
9 | 陈荣元, 郑晨, 申立智. 多源影像融合与分割的协同方法[J]. 电子学报, 2015, 43(10): 1994-2000. |
Chen Rong-yuan, Zheng Chen, Shen Li-zhi.Cooperation between fusion and segmentation for multisource image[J]. Acta Electronica Sinica, 2015, 43(10): 1994-2000. | |
10 | 李雄飞, 宋璐, 张小利. 基于协同经验小波变换的遥感图像融合[J]. 吉林大学学报: 工学版, 2019, 49(4): 1307-1319. |
Li Xiong-fei, Song Lu, Zhang Xiao-li. Remote sensing image fusion based on cooperative empirical wavelet transform[J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(4): 1307-1319. | |
11 | 金海燕, 焦李成. 基于CP和多小波HMT模型的克隆选择遥感图像融合[J]. 计算机学报, 2009, 32(7): 1434-1442. |
Jin Hai-yan, Jiao Li-cheng. Clonal selection remote sensing image fusion based on CP and multiwavelet HMT models[J]. Chinese Journal of Computers, 2009, 32(7): 1434-1442. | |
12 | Li Y T, Wu J, Yang Y. HIS and DWT based remote sensing image fusion and its application on road extraction[C]∥2011 International Conference on Consumer Electronics, Communications and Networks, Xianning, 2011, 394-397. |
13 | 李光鑫, 王珂. 基于Contourlet变换的彩色图像融合算法[J]. 电子学报, 2007, 35(1): 112-117. |
Li Guang-xin, Wang Ke. Color image fusion algorithm using the contourlet transform[J]. Acta Electronica Sinica, 2007,35(1): 112-117. | |
14 | Li T J, Wang Y Y. Biological image fusion using a NSCT based variable weight method[J]. Information Fusion, 2011, 12(2): 85-92. |
15 | Li H, Zhang F, Zhang K. Remote sensing image fusion based on sparse non-negative matrix factorization[J]. Journal of Xidian University, 2016, 43(2): 193-198. |
16 | Dong Y N, Du B, Zhang L P. Target detection based on random forest metric learning[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 8(4): 1830-1838. |
17 | He G, Ji J, Dong D, et al. Infrared and visible image fusion method by using hybrid representation learning[J]. Geoscience and Remote Sensing Letters, 2019, 6(11): 1796-1800. |
18 | Xiao A, Wang Z Y, Wang L, et al. Super-resolution for 'Jilin-1' satellite video imagery via a convolutional network[J]. Sensors, 2018, 18(4): 18041194. |
19 | Liu Y, Chen X, Wang Z, et al. Deep learning for pixel-level image fusion: recent advances and future prospects[J]. Information Fusion, 2018, 42: 158-173. |
20 | Xu L, Yan Q, Xia Y, et al. Structure extraction from texture via relative total variation[J]. ACM Transaction on Graphics, 2012, 31(6): 2366158. |
21 | Ma J L, Zhou Z Q, Wang B, et al. Infrared and visible image fusion based on visual saliency map and weighted least square optimization[J]. Infrared Physics and Technology, 2017, 82: 8-17. |
22 | Tan W, Xiang P, Zhang J, et al. Remote sensing image fusion via boundary measured dual-channel PCNN in multi-scale morphological gradient domain[J]. Access, 2020, 99: 42540-42549. |
23 | Liu Y, Chen X, Cheng J,et al. A medical image fusion method based on convolutional neural networks[C]∥20th International Conference on Information Fusion, Xi'an, China, 2017: 17102534. |
[1] | Guang-qiu CHEN,Yu-cun CHEN,Jia-yue LI,Guang-wen LIU. Infrared and visible image fusion based on discrete nonseparable shearlet transform and convolutional sparse representation [J]. Journal of Jilin University(Engineering and Technology Edition), 2021, 51(3): 996-1010. |
[2] | Man CHEN,Yong ZHONG,Zhen-dong LI. Multi-focus image fusion based on latent low⁃rank representation combining low⁃rank representation [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(1): 297-305. |
[3] | Xiong-fei LI,Jing WANG,Xiao-li ZHANG,Tie-hu FAN. Multi-focus image fusion based on support vector machines and window gradient [J]. Journal of Jilin University(Engineering and Technology Edition), 2020, 50(1): 227-236. |
[4] | Xiong-fei LI,Lu SONG,Xiao-li ZHANG. Remote sensing image fusion based on cooperative empirical wavelet transform [J]. Journal of Jilin University(Engineering and Technology Edition), 2019, 49(4): 1307-1319. |
[5] | LIU Zhe, XU Tao, SONG Yu-qing, XU Chun-yan. Image fusion technology based on NSCT and robust principal component analysis model with similar information [J]. Journal of Jilin University(Engineering and Technology Edition), 2018, 48(5): 1614-1620. |
[6] | YIN Ming, ZHAN Yin-wei, PEI Hai-long. Co-sparse analysis operator learning for image fusion [J]. 吉林大学学报(工学版), 2016, 46(6): 2052-2058. |
[7] | YU De-xin, LIU Chun-yu, ZHENG Kun, GUO Ya-juan, ZHAO Xin. Space occupancy estimating method based on remote sensing images [J]. 吉林大学学报(工学版), 2016, 46(3): 764-769. |
[8] | WANG Xiao-wen, ZHAO Zong-gui, PANG Xiu-mei, LIU Min. Image fusion method based on visual saliency maps [J]. 吉林大学学报(工学版), 2014, 44(4): 1203-1208. |
[9] | YANG Yang, DAI Ming, ZHOU Luo-yu, SUN Ming-chao. Multifocus image fusion based on nonsubsampled Bandelet transform [J]. 吉林大学学报(工学版), 2014, 44(2): 525-530. |
[10] | WANG Xin, LI Wei-lin, LIU Fu. New algorithm of CT/MRI medical image fusion based on wavelet domain [J]. 吉林大学学报(工学版), 2013, 43(增刊1): 25-28. |
[11] | LI Juan, NAN Xu-liang, BI Si-yuan, WU Wei. Image Fusion based on an improved algorithm of Multi-objective Particle swarm Optimization [J]. 吉林大学学报(工学版), 2013, 43(增刊1): 477-480. |
[12] | BAO Lei, XU Qi-zhi. Spectrum-keeping algorithm for fusing based on PCA [J]. 吉林大学学报(工学版), 2013, 43(增刊1): 88-91. |
[13] | XING Xiao-xue, LIU Fu, MA Dong-mei, ZHAI Wei-wei, WANG Fang-rong. Intelligent counting system of soft fibrils collection based on machine vision [J]. , 2012, 42(05): 1267-1272. |
[14] | LIU Gang, ZHAO Hong-yi, HU Zhen-long. Weighted mixed-norm based blind super-resolution algorithm [J]. , 2012, 42(04): 1054-1058. |
[15] | SUN Ming-chao, ZHANG Chong, LIU Jing-hong. Fusion of visible and infrared images based on multi-scale image enhancement [J]. , 2012, (03): 738-742. |
|