Satellite Images Fusion Using Modified PCA Substitution Method

Abduljabbar, Hameed M.

doi:10.30526/30.1.1057

Cited by 9 publications

(4 citation statements)

References 3 publications

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“…He displayed the accuracy of the proposed method to fuse images with a similar representation compared with the general wavelet fusion technique that only fuses high-frequency parts. Abduljabbar [4] presented a new approach based on the principal component analysis (PCA) fusion method for the fusion of satellite images acquired in different electromagnetic wave ranges, which showed the ability to make one of the image characteristics a few superior to other without decreasing the quality of the resultant fused image. Hamed et al [8] proposed a new technique to fuse panchromatic and multispectral satellite images based on combining IHS perceptual color space and Haar wavelet transform.…”

Section: Previous Studiesmentioning

confidence: 99%

“…The information contents (spatial and spectral) are combined to produce a high spatial resolution multispectral image that contains the best information of the two input images [3] [4]. The second way is to combine the two satellite images (different sensors), which do in different parts of the electromagnetic spectral range (microwave, visible light, and nearinfrared), with the different image information, characteristics (contrast, brightness, and standard deviation), and statistics of the image to improve the quality of the images and produce the distinct images for the same scene [4]. This technique provides an effective method to compare and analyze multi-sensor data having complementary information about a certain region and reducing increasing information by extracting valuable information from original images [2].…”

Section: Introductionmentioning

confidence: 99%

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The Effect of Using the Different Satellite Spatial Resolution on the Fusion Technique

Al-Jasim

Naji

Shaban

2022

eijs

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Bilinear interpolation and use of perceptual color spaces (HSL, HSV, LAB, and LUV) fusion techniques are presented to improve spatial and spectral characteristics of the multispectral image that has a low resolution to match the high spatial resolution of a panchromatic image for different satellites image data (Orbview-3 and Landsat-7) for the same region. The Signal-to-Noise Ratio (SNR) fidelity criterion for achromatic information has been calculated, as well as the mean color-shifting parameters that computed the ratio of chromatic information loss of the RGB compound inside each pixel to evaluate the quality of the fused images. The results showed the superiority of HSL color space to fuse images over the rest of the spaces, as it recorded the highest SNR and the lowest mean color-shifting. The quality of the fused images using Lab color space was not affected by the type of intermediate algorithm used for XYZ space, unlike LUV color space. The XYZ algorithm type affected the fused image results, which recorded the worst consequences. It is noted that the computational time taken increased exponentially with the difference in spatial resolution between the fused images.

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Section: Previous Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Effect of Using the Different Satellite Spatial Resolution on the Fusion Technique

Al-Jasim

Naji

Shaban

2022

eijs

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“…Land cover change is a common occurrence, owing to our activity and natural events, which result in changes that affect natural ecosystems [3]. Remote sensing and geographic information systems are important technologies that analyze photographs to provide environmental data for a variety of urban applications [4,5]. Multiple indicators were employed in the study, including the (NDVI) ,(Normalized Difference Vegetation Index), the (NDWI), (Normalized Difference Water Index), the (SAVI), (Soil Adjusted Vegetation Index), and the( NDBI), (Normalized Difference Built-UP Index) [6].…”

Section: Introductionmentioning

confidence: 99%

Detection of Spectral Reflective Changes for Temporal Resolution of Land Cover (LC) for Two Different Seasons in central Iraq

Salman

Ramahi

2022

Iraqi Journal of Science

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The purpose of the study is the city of Baghdad, the capital of Iraq, was chosen to study the spectral reflection of the land cover and to determine the changes taking place in the areas of the main features of the city using the temporal resolution of multispectral bands of the satellite Landsat 5 and 8 for MSS and OLI sensors respectively belonging to NASA and for the period 1999-2021, and calculating the increase and decrease in the basic features of Baghdad .The main conclusions of the study were, This study from 1999 to 2021 and in two different seasons: the Spring of the growing season and Summer the dry season. When using the supervised classification method to determine the differences, the results showed remarkable changes. Where he was in 1999 Normalized Difference Vegetation Index (NDVI) 925km2 and Normalized Difference Water Index (NDWI) 75.3km2 In the case of an increase during the growth period, while the values decreased during the period of dry to (NDVI) 390.8km2 and (NDWI) 51.9km2.As for Soil Adjusted Vegetation Index (SAVI) 1692.9km2 and Normalized Difference Built up Index (NDBI) 782.1km2 we notice a decrease in the growth period, while the values increase during the dry period to (SAVI) 2239.1km2 and (NDBI) 1495.7km2. In 2021 (NDVI) 242.7km2 (NDWI) 83.4km2 in the case of an increase during the growth period, while the values decreased during the period of dry to (NDVI) 122.2km2 and (NDWI) 73.2km2 .As for (SAVI) 3016.3km2 (NDBI) 1263.3km2 we notice a decrease in the growth period, while the values increase during the dry period to (SAVI) 3702.3km2 and (NDBI) 1882.2km2. Where most of the changes in LC were due to human activities, and the most prominent changes in LC were due to urban expansion on agricultural lands continuously in all years that resulted from land degradation.

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“…The use of remote sensing and geographic information systems in the analysis of satellite images of the Earth's resources is a vital resource to enable the extraction of information related to the Earth's cover with the required speed and accuracy needed for various applications [ABDULJABBAR 2017;MEGHRAOUI et al 2017;NAJI, HATEM 2017]. Iraq is characterised by a varying terrain, from the mountainous region and sedimentary plain to the deserts.…”

Section: Introductionmentioning

confidence: 99%

Journal of Water and Land Development

Hatem,

Al-Jasim,

Abduljabbar

2021

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The marshes are the most abundant water sources and ecological rich communities. They have a significant impact on the ecological and economic well-being of the communities surrounding them. However, climatic changes directly impact these bodies of water, especially those marshes which depend on rainwater and flooding for their survival. The Al-Sannya marsh is used as the example of marshes in Southern Iraq for this study between 1987-2017. The research takes place throughout the winter season due to the revival of marshes in southern Iraq at this time of year.

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Satellite Images Fusion Using Modified PCA Substitution Method

Cited by 9 publications

References 3 publications

The Effect of Using the Different Satellite Spatial Resolution on the Fusion Technique

The Effect of Using the Different Satellite Spatial Resolution on the Fusion Technique

Detection of Spectral Reflective Changes for Temporal Resolution of Land Cover (LC) for Two Different Seasons in central Iraq

Journal of Water and Land Development

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