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


  • 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




Hyperion, hyperspectral, image processing, Image Fusion, Resolution


 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.






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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