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Effective Data Management and Spatial Analytics
, 2021 This webinar introduced the implementations of effective data management and spatial analytics by academic and industry leaders of the field, and discuss the directions for further enhancement through integration with a cloud-based platform for research ...
Spatial Data Lab
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Resolution Enhancement for Drill-Core Hyperspectral Mineral Mapping
Remote Sensing, 2021 Drill-core samples are a key component in mineral exploration campaigns, and their rapid and objective analysis is becoming increasingly important. Hyperspectral imaging of drill-cores is a non-destructive technique that allows for non-invasive and fast ...
Isabel Cecilia Contreras Acosta +2 more
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Image resolution enhancement using dual-tree complex wavelet transform [PDF]
, 2010 In this letter, a complex wavelet-domain image resolution enhancement algorithm based on the estimation of wavelet coefficients is proposed. The method uses a forward and inverse dual-tree complex wavelet transform (DT-CWT) to construct a high-resolution
Tjahjadi, Tardi, Çelik, Turgay
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A Spatial-Channel Collaborative Attention Network for Enhancement of Multiresolution Classification
Remote Sensing, 2020 Recently, with the popularity of space-borne earth satellites, the resolution of high-resolution panchromatic (PAN) and multispectral (MS) remote sensing images is also increasing year by year, multiresolution remote sensing classification has become a ...
Wenping Ma +6 more
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SPATIAL RESOLUTION ENHANCEMENT OF LAND COVER MAPPING USING DEEP CONVOLUTIONAL NETS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Multispectral satellite imagery is the primary data source for monitoring land cover change and characterizing land cover at the global scale. However, the accuracy of land cover classification is often constrained by the spatial and temporal resolutions
Q. Yu, W. Liu, J. Li
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Environmental Data Science, 2023 Coarse spatial resolution in gridded precipitation datasets, reanalysis, and climate model outputs restricts their ability to characterize the localized extreme rain events and limits the use of the coarse resolution information for local to regional ...
P. Jyoteeshkumar Reddy +4 more
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Cuboid‐Net: A multi‐branch convolutional neural network for joint space‐time video super resolution
IET Image Processing, 2023 The demand for high‐resolution videos has been consistently rising across various domains, propelled by continuous advancements in societal. Nonetheless, limitations in imaging and economic factors often result in obtaining low‐resolution images.
Congrui Fu +4 more
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Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods [PDF]
, 2005 Usual image fusion methods inject features from a high spatial resolution panchromatic sensor into every low spatial resolution multispectral band trying to preserve spectral signatures and improve spatial resolution to that of the panchromatic sensor ...
Fors Aldrich, Octavi +7 more
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Enhanced performance of a temperature-compensated submeter spatial resolution distributed strain sensor [PDF]
, 2010 We demonstrate a scheme which allows for temperature-corrected distributed strain measurements with improved spatial and strain resolutions and reduced data collection time.
Newson, T.P. +4 more
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A New Look at Image Fusion Methods from a Bayesian Perspective
Remote Sensing, 2015 Component substitution (CS) and multi-resolution analysis (MRA) are the two basic categories in the extended general image fusion (EGIF) framework for fusing panchromatic (Pan) and multispectral (MS) images.
Hankui K. Zhang, Bo Huang
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