Infrared and Visible Remote Sensing Imagery Fusion Based on Fuzzy Logic and NSCT
Although average or region energy method are widely used in calculating low-frequency coefficients in multi-sensor fusion, these methods still have shortcomings while fusing infrared and visible remote sensing imagery. Because of the differences of infrared and visible imaging mechanism, the extent of each source images contribution to the fused image is uncertain. Much information could be reduced and good result can not be obtained. Fuzzy logic is an efficient way to resolve uncertain problems. Therefore, fuzzy logic and nonsubsampled Contourlet transform (NSCT) are introduced into infrared and visible remote sensing image fusion and a novel multi-scale analysis method based on fuzzy logic is proposed in this paper. The spatial detail information of fused results is improved and the experiment indicates that the proposed method can get better visual quality.
Image fusion Multi-scale Transform Fuzzy Logic Nonsubsampled Contourlet Transform (NSCT)
Huang Qingqing Yang Jian Ji Yuan
Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, China
国际会议
大连
英文
158-162
2011-10-19（万方平台首次上网日期，不代表论文的发表时间）