Spatial Sharpening of KOMPSAT-3A MIR Images Using Optimal Scaling Factor
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 qual...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/22/3772 |
| _version_ | 1797547693528055808 |
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| author | Kwan-Young Oh Hyung-Sup Jung Sung-Hwan Park Kwang-Jae Lee |
| author_facet | Kwan-Young Oh Hyung-Sup Jung Sung-Hwan Park Kwang-Jae Lee |
| author_sort | Kwan-Young Oh |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T14:47:44Z |
| format | Article |
| id | doaj.art-63c8519327a442ac83ab7d65ce7d33f5 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T14:47:44Z |
| publishDate | 2020-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-63c8519327a442ac83ab7d65ce7d33f52023-11-20T21:15:12ZengMDPI AGRemote Sensing2072-42922020-11-011222377210.3390/rs12223772Spatial Sharpening of KOMPSAT-3A MIR Images Using Optimal Scaling FactorKwan-Young Oh0Hyung-Sup Jung1Sung-Hwan Park2Kwang-Jae Lee3Satellite Application Center, Korea Aerospace Research Institute (KARI), 169-84 Gwahangno(st) Yuseong-gu, Daejeon 34133, KoreaDepartment of Geoinformatics, The University of Seoul (UOS), 90 Jeonnong-dong, Dongdaemun-gu, Seoul 130-743, KoreaMarine Disaster Research Center, Korea Institute of Ocean Science and Technology (KIOST), 385 Haeyang-ro, Yeongdo-gu, Busan 49111, KoreaSatellite Application Center, Korea Aerospace Research Institute (KARI), 169-84 Gwahangno(st) Yuseong-gu, Daejeon 34133, KoreaThis 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.https://www.mdpi.com/2072-4292/12/22/3772KOMPSAT-3Adata fusionmedium wave infraredscaling factorpanchromatic images |
| spellingShingle | Kwan-Young Oh Hyung-Sup Jung Sung-Hwan Park Kwang-Jae Lee Spatial Sharpening of KOMPSAT-3A MIR Images Using Optimal Scaling Factor Remote Sensing KOMPSAT-3A data fusion medium wave infrared scaling factor panchromatic images |
| title | Spatial Sharpening of KOMPSAT-3A MIR Images Using Optimal Scaling Factor |
| title_full | Spatial Sharpening of KOMPSAT-3A MIR Images Using Optimal Scaling Factor |
| title_fullStr | Spatial Sharpening of KOMPSAT-3A MIR Images Using Optimal Scaling Factor |
| title_full_unstemmed | Spatial Sharpening of KOMPSAT-3A MIR Images Using Optimal Scaling Factor |
| title_short | Spatial Sharpening of KOMPSAT-3A MIR Images Using Optimal Scaling Factor |
| title_sort | spatial sharpening of kompsat 3a mir images using optimal scaling factor |
| topic | KOMPSAT-3A data fusion medium wave infrared scaling factor panchromatic images |
| url | https://www.mdpi.com/2072-4292/12/22/3772 |
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