Results 41 to 50 of about 1,701 (201)
, 2023 This study proposes an adaptive strategy to improve the performances of two widely used pansharpening strategies, namely the Generalized Laplacian Pyramid (GLP) with Modulation Transfer Function (MTF)-matched filter and Context-Based Decision (CBD ...
Yılmaz, VOLKAN, Volkan Yilmaz
core +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
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
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Object-Based Area-to-Point Regression Kriging for Pansharpening [PDF]
, 2021 Optical earth observation satellite sensors often provide a coarse spatial resolution (CR) multispectral (MS) image together with a fine spatial resolution (FR) panchromatic (PAN) image.
Wang, Q. +7 more
core +4 more sources
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
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
Variable Subpixel Convolution Based Arbitrary-Resolution Hyperspectral Pansharpening
, 2022 International audienceStandard hyperspectral (HS) pansharpening relies on fusion to enhance low-resolution HS (LRHS) images to the resolution of their matching panchromatic (PAN) images, whose practical implementation is normally under a stipulation of ...
Li, Jun +5 more
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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
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CNN-Based Hyperspectral Pansharpening With Arbitrary Resolution
, 2022 International audienceTraditional hyperspectral (HS) pansharpening aims at fusing a HS image with its panchromatic (PAN) counterpart, to bring the spatial resolution of the HS image to that of the PAN image.
Li, Jun +5 more
core +1 more source
A Generic Approach to Creating a National Soil Security Strategy
Sustainable Development, EarlyView.ABSTRACT Soil is a living and non‐renewable resource that underpins our very existence. It produces our food, filters our water, stores vast amounts of carbon, cycles essential nutrients, and sustains the rich tapestry of biodiversity on which our planet depends.
Alex McBratney +21 more
wiley +1 more source