A bibliometric network analysis of recent publications on digital agriculture to depict strategic themes and evolution structure
The agriculture sector is one of the backbones of many countries' economies. Its processes
have been changing to enable technology adoption to increase productivity, quality, and …
have been changing to enable technology adoption to increase productivity, quality, and …
Hyperspectral image super-resolution meets deep learning: A survey and perspective
Hyperspectral image super-resolution, which refers to reconstructing the high-resolution
hyperspectral image from the input low-resolution observation, aims to improve the spatial …
hyperspectral image from the input low-resolution observation, aims to improve the spatial …
[HTML][HTML] Multispectral and hyperspectral image fusion in remote sensing: A survey
G Vivone - Information Fusion, 2023 - Elsevier
The fusion of multispectral (MS) and hyperspectral (HS) images has recently been put in the
spotlight. The combination of high spatial resolution MS images with HS data showing a …
spotlight. The combination of high spatial resolution MS images with HS data showing a …
Investigating the role of image fusion in brain tumor classification models based on machine learning algorithm for personalized medicine
R Nanmaran, S Srimathi, G Yamuna… - … methods in medicine, 2022 - Wiley Online Library
Image fusion can be performed on images either in spatial domain or frequency domain
methods. Frequency domain methods will be most preferred because these methods can …
methods. Frequency domain methods will be most preferred because these methods can …
[HTML][HTML] Improving PRISMA hyperspectral spatial resolution and geolocation by using Sentinel-2: development and test of an operational procedure in urban and rural …
Hyperspectral (HS) satellites like PRISMA (PRecursore IperSpettrale della Missione
Applicativa) offer remarkable capabilities, yet they are constrained by a relatively coarse …
Applicativa) offer remarkable capabilities, yet they are constrained by a relatively coarse …
Comparison of Random Forest and XGBoost Classifiers Using Integrated Optical and SAR Features for Mapping Urban Impervious Surface
The integration of optical and SAR datasets through ensemble machine learning models
shows promising results in urban remote sensing applications. The integration of multi …
shows promising results in urban remote sensing applications. The integration of multi …
Recent advances in multi-and hyperspectral image analysis
J Nalepa - Sensors, 2021 - mdpi.com
Current advancements in sensor technology bring new possibilities in multi-and
hyperspectral imaging. Real-life use cases which can benefit from such imagery span …
hyperspectral imaging. Real-life use cases which can benefit from such imagery span …
[HTML][HTML] Sugarcane health monitoring with satellite spectroscopy and machine learning: A review
EK Waters, CCM Chen, MR Azghadi - Computers and Electronics in …, 2025 - Elsevier
Research into large-scale crop monitoring has flourished due to increased accessibility to
satellite imagery. This review delves into previously unexplored and under-explored areas …
satellite imagery. This review delves into previously unexplored and under-explored areas …
Multitemporal and multispectral data fusion for super-resolution of Sentinel-2 images
T Tarasiewicz, J Nalepa, RA Farrugia… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Multispectral Sentinel-2 (S-2) images are a valuable source of Earth observation data;
however, spatial resolution of their spectral bands limited to 10-, 20-, and 60-m ground …
however, spatial resolution of their spectral bands limited to 10-, 20-, and 60-m ground …
[HTML][HTML] Recognition of small water bodies under complex terrain based on SAR and optical image fusion algorithm
Understanding the spatial and temporal distribution of small water bodies is essential for
managing water resources, crafting conservation policies, and preserving watershed …
managing water resources, crafting conservation policies, and preserving watershed …