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Abstract
This paper present efficient methods for merging KOMPSAT-3A (Korea Multi-Purpose Satellite) medium wave Infrared (MIR) and panchromatic (PAN) images. Spatial sharpening techniques have been developed to create an image with both high spatial and high spectral resolution by combining the desired qualities of a PAN image with high spatial and low spectral resolution and an MS/MIR image with low spatial and high spectral resolution. The proposed methods can extract an optimal scaling factor, and uses the tactics of appropriately controlling the balance between the spatial and spectral resolutions. KOMPSAT-3A PAN and MIR images were used to test and evaluate the performance of the proposed methods. A qualitative assessment were performed using the image quality index (Q4), the cross correlation index (CC) and the relative global dimensional synthesis error (Spectral/Spatial ERGAS). These tests indicate that the proposed methods preserve the spectral and spatial characteristics of the original MIR and PAN images. Visual analysis reveals that the spectral and spatial information derived from the proposed methods were well retained in the test images. A comparison of the results of the proposed methods with those obtained from applying existing ones such as the Multi Sensor Fusion (MSF) technique or the Guide Filter Based Fusion (GF) show the efficiency of the new fusion process to be superior to the one of the others. The results showed a significant improvement in fusion capability for KOMPSAT-3A MIR imagery.
Highlights
KOMPSAT (Korea Multi-Purpose Satellite)-3A is a very high-resolution optical satellite launched in March 2015 that provides panchromatic (PAN) images, Multi-Spectral (MS) images and Medium wave Infrared (MIR) images
This parameter controls the amplitude of the high frequency(HF) PAN image applied to fused medium wave Infrared (MIR) image
Where α > 0 is the scaling factor to appropriately control the balance between the spatial and spectral resolutions
Summary
KOMPSAT (Korea Multi-Purpose Satellite)-3A is a very high-resolution optical satellite launched in March 2015 that provides panchromatic (PAN) images, Multi-Spectral (MS) images and Medium wave Infrared (MIR) images. Researchers in the field of remote sensing are currently studying opportunities and possibilities to mathematically combine thermal or MIR images with visible images. Such data fusion research is conducted to expand the utilization of thermal or MIR images taken from satellites or to provide various information simultaneously by combining two images that provide different information. Other studies have been carried out for injecting spatially detailed information of PAN into an infrared channel image mathematically [2] or for producing a fusion image using the technique of sparse representation [9,10]. NDVI, Enhanced Vegetation Index (EVI), normalized difference water index (NDWI), normalized difference moisture index (NDMI), and infrared channel images [12]
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