Results 41 to 50 of about 1,803 (195)
Full-Resolution Quality Assessment for Pansharpening
Remote Sensing, 2022 A reliable quality assessment procedure for pansharpening methods is of critical importance for the development of the related solutions. Unfortunately, the lack of ground truths to be used as guidance for an objective evaluation has pushed the community to resort to two approaches, which can also be jointly applied.
Giuseppe Scarpa, Matteo Ciotola
openaire +4 more sources
Pansharpening by Combining Enhanced Spatial-Spectral Fidelity and Gradient-Domain Guided Filtering
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Pansharpening techniques fuse the complementary information from a high-resolution panchromatic (PAN) and low-resolution multispectral (LRMS) images to produce a high-resolution multispectral (HRMS) image.
Li Liu +3 more
doaj +1 more source
A Swin Transformer with Dynamic High-Pass Preservation for Remote Sensing Image Pansharpening
Remote Sensing, 2023 Pansharpening is a technique used in remote sensing to combine high-resolution panchromatic (PAN) images with lower resolution multispectral (MS) images to generate high-resolution multispectral images while preserving spectral characteristics. Recently,
Weisheng Li +3 more
doaj +1 more source
Target-Adaptive CNN-Based Pansharpening [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2018 We recently proposed a convolutional neural network (CNN) for remote sensing image pansharpening obtaining a significant performance gain over the state of the art. In this paper, we explore a number of architectural and training variations to this baseline, achieving further performance gains with a lightweight network which trains very fast ...
Giuseppe Scarpa +2 more
openaire +4 more sources
IEEE Access, 2020 Pansharpening is a technique that fuses the coarser resolution of multispectral imagery (MS) with high spatial resolution panchromatic (PAN) imagery. Pansharpening is prone to spectral distortions based on the nature of the panchromatic band.
G. Rohith, Lakshmi Sutha Kumar
doaj +1 more source
Siamese Networks Based Deep Fusion Framework for Multi-Source Satellite Imagery
IEEE Access, 2022 A critical aim of pansharpening is to fuse coherent spatial and spectral features from panchromatic and multispectral images respectively. This study proposes deep siamese network based pansharpening model as a two-stage framework in a multiscale setting.
Hannan Adeel +3 more
doaj +1 more source
Review and Performance Comparison of Pansharpening Algorithms for RASAT Images
Electrica, 2018 This study presents themost extensive performance comparison of pansharpening methodologies byconsidering 17 pansharpening algorithms that are applied to the satelliteimages obtained from RASAT, which is the first earth observation satellitedesigned and ...
Sevcan Kahraman, Alp Ertürk
doaj +1 more source
RESOLUTION ENHANCEMENT OF INFRARED THERMAL IMAGING BY PANSHARPENING ALGORITHMS [PDF]
, 2021 One common tool in Cultural Heritage inspections is thermal cameras, which are sensitive to the infrared part of the electromagnetic spectrum. But the resolution of these sensors is quite lower than other kinds like visible spectrum range cameras ...
Prieto Morín, Juan Francisco +5 more
core +2 more sources
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Accurate and scalable phenotyping is essential for accelerating genetic gain in soybean (Glycine max (L.) Merr.) breeding programs. Traditional methods for estimating physiological maturity are labor‐intensive and prone to subjectivity, limiting throughput and consistency. This study evaluates the potential of high‐resolution satellite imagery
Anastasios Mazis +6 more
wiley +1 more source
River, Volume 5, Issue 3, Page 351-368, August 2026.Abstract With the advancement of remote sensing technology, the accuracy of satellite remote sensing data has continuously improved, and the precision of large‐scale soil and water conservation monitoring has steadily increased. However, owing to differences in sensor acquisition and processing methods, monitoring data obtained through various ...
Wenxiang Liu +4 more
wiley +1 more source