Region based multi-spectral fusion method for remote sensing images using differential search algorithm and IHS transform

作者：

Highlights：

• A two-step cascade method to fuse 5 different bands of Landsat 8 images.

• Adaptive region segmentation and optimal weighting for each region.

• Differential Search algorithm (DSA) used to maximize the fusion quality.

• RGB bands are combined with Intensity-Hue-Saturation (IHS) transform.

• Superior visual performance compared with 11 methods with 5 objective metrics.

摘要

•A two-step cascade method to fuse 5 different bands of Landsat 8 images.•Adaptive region segmentation and optimal weighting for each region.•Differential Search algorithm (DSA) used to maximize the fusion quality.•RGB bands are combined with Intensity-Hue-Saturation (IHS) transform.•Superior visual performance compared with 11 methods with 5 objective metrics.

论文关键词：Optimization,Differential search algorithm,Remote sensing,Image fusion,Multi-spectral imaging

论文评审过程：Received 14 September 2020, Revised 30 July 2021, Accepted 19 October 2021, Available online 29 October 2021, Version of Record 2 November 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116135