Sub-pixel mapping based on artificial immune systems for remote sensing imagery

作者：

Highlights：

• ●We propose an artificial immune sub-pixel mapping framework for remote sensing imagery.●The sub-pixel mapping problem is transformed to an optimization problem.●The proposed algorithm can obtain better sub-pixel mapping results by immune operators.●Experimental results demonstrate that the proposed approach outperforms the previous methods.

摘要

●We propose an artificial immune sub-pixel mapping framework for remote sensing imagery.●The sub-pixel mapping problem is transformed to an optimization problem.●The proposed algorithm can obtain better sub-pixel mapping results by immune operators.●Experimental results demonstrate that the proposed approach outperforms the previous methods.

论文关键词：Sub-pixel mapping,Remote sensing,Artificial immune systems,Clonal selection,Classification

论文评审过程：Received 4 June 2012, Revised 8 April 2013, Accepted 13 April 2013, Available online 24 April 2013.

论文官网地址：https://doi.org/10.1016/j.patcog.2013.04.009