Results 21 to 30 of about 735,608 (236)
Geodesy and Cartography, 2023 Pan Sharpening is normally applied to sharpen a multispectral image with low resolution by using a panchromatic image with a higher resolution, to generate a high resolution multispectral image.
Komeil Rokni
doaj +1 more source
A Distributed Fusion Framework of Multispectral and Panchromatic Images Based on Residual Network
Remote Sensing, 2021 Remote sensing images have been widely applied in various industries; nevertheless, the resolution of such images is relatively low. Panchromatic sharpening (pan-sharpening) is a research focus in the image fusion domain of remote sensing. Pan-sharpening
Yuanyuan Wu +4 more
doaj +1 more source
Architecting Phase-Selective Interlayers for Stable SiO<sub>x</sub> Lithium Storage via Dual-Function Design. [PDF]
Adv Sci (Weinh)Silicon anodes offer high capacity but suffer severe volume expansion. Silicon monoxide (SiO) buffers expansion, yet uncontrolled lithiation irreversibly consumes lithium as Li2O and oxygen‐rich silicates. Here, we design a layered SiOx featuring a phase‐selective conductive interfacial interlayer (PSCII), i.e., a Li4SiO4‐rich, ion‐accessible ...
Chang Z +12 more
europepmc +2 more sources
Automation of Pan-Sharpening Methods for Pléiades Images Using GIS Basic Functions
Remote Sensing, 2021 Pan-sharpening methods allow the transfer of higher resolution panchromatic images to multispectral ones concerning the same scene. Different approaches are available in the literature, and only a part of these approaches is included in remote sensing ...
Emanuele Alcaras +2 more
doaj +1 more source
FSSBP: Fast Spatial–Spectral Back Projection Based on Pan-Sharpening Iterative Optimization
Remote Sensing, 2023 Pan-sharpening is an important means to improve the spatial resolution of multispectral (MS) images. Although a large number of pan-sharpening methods have been developed, improving the spatial resolution of MS while effectively maintaining its spectral ...
Jingzhe Tao +3 more
doaj +1 more source
Comparative Analysis on Deep Learning based Pan-sharpening of Very High-Resolution Satellite Images
International Journal of Environment and Geoinformatics, 2021 Pan-sharpening is a fundamental task of remote sensing, aiming to produce a synthetic image having high spatial and spectral resolution of original panchromatic and multispectral images.
Peijuan WANG +2 more
doaj +1 more source
Remote Sensing, 2023 Achieving a balance between spectral resolution and spatial resolution in multi-spectral remote sensing images is challenging due to physical constraints. Consequently, pan-sharpening technology was developed to address this challenge.
Jing Wang +7 more
doaj +1 more source
A NOVEL IHS-GA FUSION METHOD BASED ON ENHANCEMENT VEGETATED AREA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Pan sharpening methods aim to produce a more informative image containing the positive aspects of both source images. However, the pan sharpening process usually introduces some spectral and spatial distortions in the resulting fused image. The amount of
S. Niazi, M. Mokhtarzade, F. Saeedzadeh
doaj +1 more source
Pan-Sharpening Based on Panchromatic Colorization Using WorldView-2
IEEE Access, 2021 In order to overcome the lack of the multispectral image (MS) and adequately preserve the spatial information of panchromatic (PAN) image and the spectral information of MS image, this study proposes a method which adds the spectral information of the ...
Zhangxi Xiong +3 more
doaj +1 more source
PAN SHARPENING QUALITY INVESTIGATION OF TURKISH IN-OPERATION REMOTE SENSING SATELLITES: APPLICATIONS WITH RASAT AND GÖKTÜRK-2 IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Recently two optical remote sensing satellites, RASAT and GÖKTÜRK-2, launched successfully by the Republic of Turkey. RASAT has 7.5 m panchromatic, and 15 m visible bands whereas GÖKTÜRK-2 has 2.5 m panchromatic and 5 m VNIR (Visible and Near Infrared ...
M. Ozendi, H. Topan, A. Cam, Ç. Bayık
doaj +1 more source