Hyperspectral Image Sharpening Using Fusion Techniques -A Case Study at Salah Al-Din Province/Iraq-

Authors

  • Rawnak Adel Abdulwahab Ministry of science and technology, Remote Sensing Centre, Baghdad, Iraq
  • Firas A. Hadi Dpt. of Renewable Energy Science, College of Energy and Environmental Science, Al-karkh University of Science, Baghdad, Iraq https://orcid.org/0000-0002-4392-2545

DOI:

https://doi.org/10.24996/ijs.2024.65.3.46

Keywords:

Hyperion, hyperspectral, image processing, Image Fusion, Resolution

Abstract

 The data fusion process includes merging two or more pieces of information obtained from different sensors. Satellite image fusion research aims to create a new image by combining two images captured by different sensors using various methodologies. In this research, image sharpening tools were used to combine a hyperspectral image with a low spatial resolution captured by a Hyperion sensor mounted on the Earth Observation 1 (EO-1) satellite with a grayscale high spatial resolution image captured by Enhanced Thematic Mapper Plus (ETM +) sensor mounted on Landsat-8 (resampling first one to ensure equal spatial resolution of both images). In addition, three techniques were adopted for implementing the Fusion mechanism: the Principal Component Analysis PCA, the Nearest Neighbor Diffusion NNDifuse, and the Gram-Schmidt method; these were used to sharpen hyperspectral data using high spatial resolution. The result showed that the Gram-Schmidt method could give Hyperspectral images with higher spectral and spatial resolution in panchromatic image data more accurately than the other methods.

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Published

2024-03-29

Issue

Section

Remote Sensing

How to Cite

Hyperspectral Image Sharpening Using Fusion Techniques -A Case Study at Salah Al-Din Province/Iraq-. (2024). Iraqi Journal of Science, 65(3), 1775-1786. https://doi.org/10.24996/ijs.2024.65.3.46

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