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Enhanced Spatiotemporal Fusion via MODIS-Like Images
IEEE Transactions on Geoscience and Remote Sensing, 2022Spatiotemporal fusion (STF) aims at generating remote-sensing data with both high spatial and temporal resolution. In the literature, one of the most widely used strategies to accomplish this goal is to fuse high temporal resolution images collected by the Moderate Resolution Imaging Spectroradiometer (MODIS) with images with finer spatial resolution ...
Jun Li +5 more
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Spatiotemporal-Spectral Fusion for Gaofen-1 Satellite Images
IEEE Geoscience and Remote Sensing Letters, 2022Due to the limitations of hardware technology, satellite sensors cannot obtain images with high temporal, spatial, and spectral resolutions at the same time. Current spatiotemporal fusion methods try to solve the contradiction between temporal resolution and spatial resolution, which cannot achieve good reconstruction accuracy partly because the data ...
Jingbo Wei +3 more
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CycleGAN-STF: Spatiotemporal Fusion via CycleGAN-Based Image Generation
IEEE Transactions on Geoscience and Remote Sensing, 2021Due to the trade-off of temporal resolution and spatial resolution, spatiotemporal image-fusion uses existing high-spatial-low-temporal (HSLT) and high-temporal-low-spatial (HTLS) images as prior knowledge to reconstruct high-temporal-high-spatial (HTHS) images.
Jia Chen +5 more
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Spatiotemporal Satellite Image Fusion Through One-Pair Image Learning
IEEE Transactions on Geoscience and Remote Sensing, 2013This paper proposes a novel spatiotemporal fusion model for generating images with high-spatial and high-temporal resolution (HSHT) through learning with only one pair of prior images. For this purpose, this method establishes correspondence between low-spatial-resolution but high-temporal-resolution (LSHT) data and high-spatial-resolution but low ...
Huihui Song, Bo Huang
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Remote Sensing Image Spatiotemporal Fusion Using a Generative Adversarial Network
IEEE Transactions on Geoscience and Remote Sensing, 2021Due to technological limitations and budget constraints, spatiotemporal fusion is considered a promising way to deal with the tradeoff between the temporal and spatial resolutions of remote sensing images. Furthermore, the generative adversarial network (GAN) has shown its capability in a variety of applications.
Hongyan Zhang +3 more
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Remote Sensing of Environment, 2022
Abstract Spatiotemporal image fusion is a potential way to resolve the constraint between the spatial and temporal resolutions of satellite images and has been developed rapidly in recent years. However, two key challenges related to fusion accuracy remain: a) reducing the uncertainty of image fusion caused by sensor differences and b) addressing ...
Wenzhong Shi, Dizhou Guo, Hua Zhang
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Abstract Spatiotemporal image fusion is a potential way to resolve the constraint between the spatial and temporal resolutions of satellite images and has been developed rapidly in recent years. However, two key challenges related to fusion accuracy remain: a) reducing the uncertainty of image fusion caused by sensor differences and b) addressing ...
Wenzhong Shi, Dizhou Guo, Hua Zhang
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Pansharpening and spatiotemporal image fusion method for remote sensing
Engineering Research ExpressAbstract In last decades, remote sensing technology has rapidly progressed, leading to the development of numerous earth satellites such as Landsat 7, QuickBird, SPOT, Sentinel-2, and IKONOS. These satellites provide multispectral images with a lower spatial resolution and panchromatic images with a higher spatial resolution.
Sakshi Anand, Rakesh Sharma
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An enhanced unmixing model for spatiotemporal image fusion
National Remote Sensing Bulletin, 2021HUANG Bo, JIANG Xiaolu
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A spatiotemporal satellite image fusion model with autoregressive error correction (AREC)
International Journal of Remote Sensing, 2018To overcome the trade-off between spatial and temporal resolutions of satellite sensors, various spatiotemporal image fusion methods have been developed to generate synthetic imagery with both fine...
Jing Wang, Bo Huang
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Computer Methods and Programs in Biomedicine
Electrophysiological source imaging (ESI) is a challenging technique for noninvasively measuring brain activity, which involves solving a highly ill-posed inverse problem. Traditional methods attempt to address this challenge by imposing various priors, but considering the complexity and dynamic nature of the brain activity, these priors may not ...
Wuxiang Shi +7 more
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Electrophysiological source imaging (ESI) is a challenging technique for noninvasively measuring brain activity, which involves solving a highly ill-posed inverse problem. Traditional methods attempt to address this challenge by imposing various priors, but considering the complexity and dynamic nature of the brain activity, these priors may not ...
Wuxiang Shi +7 more
openaire +2 more sources