Improving the Spatial Resolution of Remotely-Sensed Images by Means of Sensor Fusion

Ranchin, Thierry; Wald, Lucien; Mangolini, Marc

doi:10.4324/9780203306062_chapter_2

Cited by 9 publications

(2 citation statements)

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“…The output fused image has finer spatial, as well as spectral, resolution. Numerous approaches to sensor fusion have been proposed in the literature, though few can be considered satisfactory in terms of preserving the (spectral) information content of the original images (Ranchin et al 2001). In this research, the Brovey transform method is used to create a new merged image.…”

Section: Methodsmentioning

confidence: 99%

Use of IKONOS satellite data to identify informal settlements in Dehradun, India

Jain

2007

International Journal of Remote Sensing

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This research highlights the potential of IKONOS satellite data to identify the temporary structures in a part of Dehradun, India. Houses with plastic roof covers reveal dark grey tone in merged IKONOS product, which helps to extract information about the people living below poverty line. Extent of these areas can be quantified using classification technique successfully. Mixing of shadow pixels with temporary structures poses limitation and need further research.

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Section: Methodsmentioning

confidence: 99%

Use of IKONOS satellite data to identify informal settlements in Dehradun, India

Jain

2007

International Journal of Remote Sensing

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“…It contained 18 pan-sharpening algorithms for fusing multispectral and panchromatic imagery. For this study, 17 fusion methods were evaluated: band-dependent spatial detail (BDSD [2] [3]), à trous wavelet transform (ATWT [33]), additive wavelet intensity method (AWLP [3] [34]), smoothing filter-based intensity modulation (SFIM [35]), generalized laplacian pyramids with modulation transfer function context-based decision injection scheme (MTF_GLP_CBD [36] [37]), gaussian modulation transfer function match filtered with high-pass modulation injection model (MTF_GLP_HPM [9]), modulation transfer function generalized laplacian pyramid (MTF_GLP [38]), high pass filter (HPF [39]), Gram-Schmidt (GS [3] [40]), hyperspherical color space (HCS [41]), à trous wavelet transform with the injection model 3 (ATWT_M3 [42]), à trous wavelet transform with the injection model 2 (ATWT_M2 [42]), local mean matching (LMM [43] [44]), Brovey [45], intensity hue saturation (IHS [46]), optimize high-pass filter (HPFC [47]), and local mean and variance matching (LMVM [43] [44]). The GS adaptive algorithm was not evaluated because of a screen error message that could not be corrected.…”

Section: Methodsmentioning

confidence: 99%

Comparing Pan-Sharpening Algorithms to Access an Agriculture Area: A Mississippi Case Study

Fletcher

2023

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Numerous satellites collect imagery of the Earth's surface daily, providing information to the public and private sectors. The fusion (pan-sharpening) of high-resolution panchromatic satellite imagery with lower-resolution multispectral satellite imagery has shown promise for monitoring natural resources and farming areas. It results in new imagery with more detail than the original multispectral or panchromatic images. In agricultural areas in Mississippi, landscapes can range from complex mixtures of vegetation and built-up areas to dense vegetative regions. More information is needed on pan-sharpened imagery for assessing landscapes in rural areas of Mississippi. WorldView 3 satellite imagery consisting of landscapes commonly found in rural areas of Mississippi was subjected to 17 pan-sharpening algorithms. The pan-sharpened images were compared qualitatively and quantitatively with three quality indices: 1) Erreur Relative Globale Addimensionelle de Synthese; 2) Universal Image Quality Index; 3) Bias. À trous wavelet transform with the injection model 3 and hyperspherical color spaced fusion methods were ranked among the best for maintaining image integrity for qualitative and quantitative analyses. The optimized high-pass filter method was often ranked last by the quality indices. The smoothing filter-based intensity modulation algorithm and the gaussian modulation transfer function match filtered with high-pass modulation injection model added artifacts to the images. Pansharpened satellite imagery has great potential to enhance the survey of Mississippi's agricultural areas. The key to success is selecting an image fusion process that increases spatial content while not compromising the image integrity.

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A Survey of the Evolution of Remote Sensing Imaging Systems and Urban Remote Sensing Applications

Fugate

Tarnavsky

Stow

2010

Remote Sensing of Urban and Suburban Areas

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Improving the Spatial Resolution of Remotely-Sensed Images by Means of Sensor Fusion

Cited by 9 publications

References 0 publications

Use of IKONOS satellite data to identify informal settlements in Dehradun, India

Use of IKONOS satellite data to identify informal settlements in Dehradun, India

Comparing Pan-Sharpening Algorithms to Access an Agriculture Area: A Mississippi Case Study

A Survey of the Evolution of Remote Sensing Imaging Systems and Urban Remote Sensing Applications

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