A Comprehensive Review of Pansharpening Algorithms for Göktürk-2 Satellite Images

Kahraman, Sevcan; Ertürk, Alp

doi:10.5194/isprs-annals-iv-4-w4-263-2017

Cited by 14 publications

(14 citation statements)

References 24 publications

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“…Component Substitution method is a global approach operating in the same way on the whole image and produce high spatial fidelity but poor spectral fidelity as they do not account for local dissimilarities between PAN and MS images. Brief description of the CS based methods used for this study are provided below with the detailed explanation in the references [5,6,9,[12][13][14].…”

Section: Component Substitutionmentioning

confidence: 99%

“…Gram-Schmidt Fusion (GS) Gram-Schmidt transformation is a generalization of PCA, in which the PCA1 is substituted with the simulated the PAN band from the lower spatial resolution spectral bands. The simulated PAN band is first adjusted and matched for the statistics with the higher spatial resolution PAN [2,6,[10][11][12]. This fusion process follows Eq.…”

Section: 15mentioning

confidence: 99%

“…( ) is the variance of . The PRACS generates high-/low-resolution synthetic component images by partial replacement method and uses a statistical ratio-based high-frequency injection [6,9]. The algorithm utilizes the weighted sum of PAN and of the ℎ MS band, to calculate the sharpened ℎ band as per Eq.…”

Section: 15mentioning

confidence: 99%

“…it is referred as multiplicative injection scheme [12]. Some of the MRA based methods used for this study are briefly explained below with the detailed explanations are provided in the references [5,6,[12][13][14].…”

Section: Multi-resolution Analysis (Mra)mentioning

confidence: 99%

“…High resolution satellite images have a typical spatial resolution of less than 1.0 m for panchromatic band and 3 to 4 times that for multispectral data. Various HR satellites such as, IKONOS, QuickBird, GeoEye and Worldview are offering data in the form of simultaneous acquisition (coregistered) of the single band PAN imagery and 4 to 8 band MS imagery [3,5,6]. The CARTOSAT-2E satellite of Indian Space Research Organization (ISRO) provides images in a single PAN and four MS bands at a spatial resolution of 0.60 m and 1.6 m simultaneously at 11 bit radiometric resolution [7].…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Suitable Image Fusion Method for CARTOSAT-2E Satellite Urban Imagery for Automatic Feature Extraction

Pendyala¹,

Kalluri²,

Rao³

2020

AMA_B

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The purpose of this study is to investigate the best suitable pan sharpening method for CARTOSAT-2E satellite launched by ISRO (Indian Space Research Organisation). This satellite provides high resolution images that are being used for many urban applications such as mapping, feature extraction, facility management etc. The synthesized image using pan sharpening method enables users to take the combined advantage of the best available spatial and spectral resolutions. In this paper, various pan sharpening methods based on component substitution (CS) and Multi Resolution Analysis (MRA) are applied on the CARTOSAT-2E images and the resultant images are tested for their qualitative and quantitative performance. Qualitative analysis is carried out based on image blur and spectral distortion and quantitative evaluation is performed using image metrics by comparing the synthesized image with the original image. The results show that the High-Pass Filter (HPF) method offers the good spectral fidelity. However, due to its inherent stair-casing effect in the resultant image; modified-IHS followed by PRACS method is found to be preferable for automatic urban feature extraction from CARTOSAT-2E images.

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