Results 11 to 20 of about 1,803 (195)
Enhanced Back-Projection as Postprocessing for Pansharpening
Remote Sensing, 2019 Pansharpening is the process of integrating a high spatial resolution panchromatic image with a low spatial resolution multispectral image to obtain a multispectral image with high spatial and spectral resolution. Over the last decade, several algorithms
Junmin Liu +4 more
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The role of image interpolation in pansharpening
Concurrency and Computation: Practice and Experience, 2022 AbstractPansharpening is an efficient way of producing images of higher spectral and spatial fidelity. Since pansharpening aims to generate a spectrally enhanced image with the same spatial detail content of the source panchromatic (PAN) image, the source multispectral (MS) image is upsampled to the size of the source PAN image prior to pansharpening ...
Volkan Yilmaz, YILMAZ, VOLKAN
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Effects of Pansharpening on Vegetation Indices [PDF]
ISPRS International Journal of Geo-Information, 2014 This study evaluated the effects of image pansharpening on Vegetation Indices (VIs), and found that pansharpening was able to downscale single-date and multi-temporal Landsat 8 VI data without introducing significant distortions in VI values.
Brian Johnson
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A critical comparison of pansharpening algorithms [PDF]
2014 IEEE Geoscience and Remote Sensing Symposium, 2014 In this paper state-of-the-art and advanced methods for multispectral pansharpening are reviewed and evaluated on two very high resolution datasets acquired by IKONOS-2 (four bands) and WorldView-2 (eight bands). The experimental analysis allows us to highlight the performances of the two main pansharpening approaches (i.e.
Gemine Vivone +7 more
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PCDRN: Progressive Cascade Deep Residual Network for Pansharpening
Remote Sensing, 2020 Pansharpening is the process of fusing a low-resolution multispectral (LRMS) image with a high-resolution panchromatic (PAN) image. In the process of pansharpening, the LRMS image is often directly upsampled by a scale of 4, which may result in the loss ...
Yong Yang +3 more
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, 2019 With the increasing of satellite missions, data fusion is growing attention in recent years. Pansharpening, which stands for panchromatic (PAN) sharpening, is a particular data fusion problem based on the enhancement of the spatial resolution of a multispectral image, thanks to the use of PAN data.
Gemine Vivone, Vivone G.
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Computationally Inexpensive Landsat 8 Operational Land Imager (OLI) Pansharpening [PDF]
Remote Sensing, 2016 Pansharpening algorithms fuse higher spatial resolution panchromatic with lower spatial resolution multispectral imagery to create higher spatial resolution multispectral images.
Hankui K. Zhang, David P. Roy
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A Local and Nonlocal Feature Interaction Network for Pansharpening
Remote Sensing, 2022 Pansharpening based on deep learning (DL) has shown great advantages. Most convolutional neural network (CNN)-based methods focus on obtaining local features from multispectral (MS) and panchromatic (PAN) images, but ignore the nonlocal dependence on ...
Junru Yin +4 more
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A Spectral-Aware Convolutional Neural Network for Pansharpening
Applied Sciences, 2020 Pansharpening aims at fusing a low-resolution multiband optical (MBO) image, such as a multispectral or a hyperspectral image, with the associated high-resolution panchromatic (PAN) image to yield a high spatial resolution MBO image.
Lin He, Dahan Xi, Jun Li, Jiawei Zhu
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MULTISPECTRAL PANSHARPENING APPROACH USING PULSE-COUPLED NEURAL NETWORK SEGMENTATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 The paper proposes a novel pansharpening method based on the pulse-coupled neural network segmentation. In the new method, uniform injection gains of each region are estimated through PCNN segmentation rather than through a simple square window.
X. J. Li +9 more
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