RETRACTED: Remote sensing image landmark segmentation algorithm based on improved GSA and PCNN combination (Retracted Article)

被引:1
|
作者
Liu, Zilong [1 ]
Chen, Guobin [2 ]
机构
[1] Haikou Univ Econ, Haikou, Hainan, Peoples R China
[2] Chongqing Technol & Business Univ, Chongqing Key Lab Spatial Informat Data Min & Big, Rongzhi Coll, Chongqing 401320, Peoples R China
关键词
Remote sensing technology; remote sensing image; IGSA; PCNN; ENERGY USE INTENSITY; CREDITS; SELECTION;
D O I
10.1177/0020720920936826
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Application of Remote Sensing Technology in the Development of Urban Functions is presented. Remote sensing image processing for ecological protection and monitoring, this paper proposes a remote sensing image landmark segmentation algorithm based on the IGSA and PCNN. Because the GSA algorithm has the disadvantages of premature convergence and is easy to fall into the local optimal solution, the improved IGSA algorithm is used to extract the ratio of the image entropy and energy to IGSA, and the entropy change value is used as the IGSA algorithm. Based on the global search ability of IGSA, the optimal value of the key parameters affecting the segmentation effect in PCNN model is found. Finally, through experimental comparison, the proposed method has strong advantages in segmentation effect, real-time and robustness
引用
收藏
页数:15
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