The Optimization Research of Geo-Environmental Monitoring Image Fusion Based on Framelet

2010 ◽  
Vol 121-122 ◽  
pp. 945-950 ◽  
Author(s):  
Xiang Li ◽  
Yue Shun He ◽  
Xuan Zhan

As various types of geo-environmental monitoring image instrument are sprouting up, there are more and more materials based on infrared, visible light, dim light, remote sensing image, using various types of image data to improve detection accuracy and efficiency of the environment has become a focus for environmental technical personnels. From the perspective of information fusion, as well as comparing framelet and the traditional wavelet features, the environmental image fusion algorithm based on framelet transform is proposed, by choosing suitable integration rules in different directions, the amount of information is further improved. The experiments show that this algorithm has better effects for small target detection with infrared and visible light images.

2008 ◽  
Vol 28 (6) ◽  
pp. 1067-1072
Author(s):  
张晶晶 Zhang Jingjing ◽  
方勇华 Fang Yonghua

2015 ◽  
Vol 15 (1) ◽  
pp. 116-125 ◽  
Author(s):  
Zheng Yu ◽  
Lei Yan ◽  
Ning Han ◽  
Jinhao Liu

Abstract In this paper the image fusion algorithm based on Contourlet transform and Pulse Coupled Neural Network (PCNN) was proposed to improve the performance of the image fusion in the detection accuracy of obstacles in forests. At the same time, the wavelet transform and the Principal Component Analysis (PCA) were simulated for comparison with the proposed algorithm. Then visible and infrared thermal images were collected in a forest. The experimental results have shown that the fused images using the method proposed provided a better understanding of the reality, enhanced images’ clarity and eliminated factors which provided shelters for targets.


2015 ◽  
Vol 62 (9) ◽  
pp. 745-753 ◽  
Author(s):  
Zhongli Ma ◽  
Jie Wen ◽  
Quanyong Liu ◽  
Guanjun Tuo

2021 ◽  
Author(s):  
Jiamin Gong ◽  
Yijie Wu ◽  
Fang Liu ◽  
Shutao Lei ◽  
Zehao Zhu ◽  
...  

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