Contrast stretching based pansharpening by using weighted differential evolution algorithm

作者：

Highlights：

• Contrast Stretching improves the pansharpening process of CSP.

• Linear Contrast Sketching (LCS) has been used by CSP.

• Weighted Differential Evolution Algorithm has been used as optimizer.

• CSP is an iterative PI method and it supplies high spatial/spectral fidelity.

• Analitic multimodal-image-fusion model of the CSP is easy to implement.

摘要

•Contrast Stretching improves the pansharpening process of CSP.•Linear Contrast Sketching (LCS) has been used by CSP.•Weighted Differential Evolution Algorithm has been used as optimizer.•CSP is an iterative PI method and it supplies high spatial/spectral fidelity.•Analitic multimodal-image-fusion model of the CSP is easy to implement.

论文关键词：Linear contrast stretching,Pansharpening,Remote sensing,Image fusion,Weighted differential evolution algorithm

论文评审过程：Received 2 February 2022, Revised 26 June 2022, Accepted 10 July 2022, Available online 16 July 2022, Version of Record 18 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118144