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

Kurban T.

Expert Systems with Applications, vol.189, 2022 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 189
  • Publication Date: 2022
  • Doi Number: 10.1016/j.eswa.2021.116135
  • Journal Name: Expert Systems with Applications
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Computer & Applied Sciences, INSPEC, Metadex, Public Affairs Index, Civil Engineering Abstracts
  • Keywords: Differential search algorithm, Image fusion, Multi-spectral imaging, Optimization, Remote sensing
  • Gazi University Affiliated: Yes


© 2021 Elsevier LtdRemote sensing applications such as clustering, classification, feature extraction, measurement and change detection need fused high-resolution images that contain complementary information coming from multi-spectral bands. To transfer as much information as possible from source images to the fused image, image fusion can be considered as an optimization problem. In this paper, a new, two-stage, multi-spectral, region based, optimal fusion method is proposed. Panchromatic and infrared bands of Landsat 8 satellite images are fused with K-medoids segmentation and Differential Search Algorithm (DSA). The fused image is combined with the red, green, and blue (RGB) bands of the same area with intensity-hue-saturation (IHS) transform. Experiments carried out on test images indicate that developed method performed better than most of the state-of-the-art fusion techniques in terms of both visual and numerical evaluations.