Results 11 to 20 of about 1,701 (201)
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
core +8 more sources
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
doaj +2 more sources
Dynamic Hyperspectral Pansharpening CNNs
IEEE Transactions on Geoscience and Remote Sensing, 2023 Hyperspectral (HS) pansharpening seeks to integrate low spatial resolution HS (LRHS) images with connected panchromatic (PAN) images to produce high spatial resolution HS (HRHS) images. Traditional pansharpening convolutional neural networks (CNNs) directly map LRHS and PAN images into HRHS images under fixed network parameters, which imply static ...
He, Lin +5 more
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Pansharpening by Convolutional Neural Networks [PDF]
Remote Sensing, 2016 A new pansharpening method is proposed, based on convolutional neural networks. We adapt a simple and effective three-layer architecture recently proposed for super-resolution to the pansharpening problem. Moreover, to improve performance without increasing complexity, we augment the input by including several maps of nonlinear radiometric indices ...
MASI, GIUSEPPE +3 more
openaire +7 more sources
, 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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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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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
doaj +3 more sources
Pansharpening via Multiscale Embedding and Dual Attention Transformers
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPansharpening is a fundamental and crucial image processing task for many remote sensing applications, which generates a high-resolution multispectral image by fusing a low-resolution multispectral image and a high-resolution panchromatic image. Recently,
Wensheng Fan, Fan Liu, Jingzhi Li
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Deep Learning Hyperspectral Pansharpening on Large-Scale PRISMA Dataset
Remote SensingHyperspectral pansharpening is crucial for the improvement of the usability of images in various applications. However, it remains underexplored due to a scarcity of data.
Simone Zini +3 more
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An Adaptive Injection Model for Pansharpening. [PDF]
Comput Intell Neurosci, 2023 Pansharpening technology is used to acquire a multispectral image with high spatial resolution from a panchromatic (PAN) image and a multispectral (MS) image. The detail injection model is popular for its flexibility. However, the accuracy of the injection gain and the extracted details may greatly influence the quality of the pansharpened image.
Song Q, Ding C, Ren J, Liu L, Lu H.
europepmc +3 more sources