Name
Abstract | ||
|---|---|---|
How to effectively and accurately detect target information in the formed images has long been an area that we attach great importance to. For example, we not only need the imaging results not to be affected by the weather and other environments, but also hope that the edge information of the imaging results is very clear and the image resolution is very high. Therefore, a single sensor cannot achieve this effect at the same time. In this case, the fusion rule (nonsubsampled contourlet transform) proposed in this paper solves the problem of insufficient imaging information of a single sensor and removes redundant information. The target is pre-screened to make the target area more accurate. Through spatial morphological filtering, false alarm rate is reduced to improve the success rate of target matching. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ICCAIS46528.2019.9074687 | 2019 International Conference on Control, Automation and Information Sciences (ICCAIS) |
Keywords | DocType | ISSN |
optical images,edge information,image resolution,fusion rule,imaging information,target matching,target detection method,SAR,spatial morphological filtering,false alarm rate,nonsubsampled contourlet transform | Conference | 2475-790X |
ISBN | Citations | PageRank |
978-1-7281-2312-7 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoyang Xie | 1 | 0 | 0.34 |
| Yingying Wang | 2 | 21 | 11.64 |
| Xingyu Tuo | 3 | 0 | 0.34 |
| Yin Zhang | 4 | 35 | 16.73 |
| Xiaoning Zhao | 5 | 0 | 0.34 |
| Jifang Pei | 6 | 44 | 9.29 |