A survey of classical methods and new trends in pansharpening of multispectral images
There exist a number of satellites on different earth observation platforms, which provide
multispectral images together with a panchromatic image, that is, an image containing …
multispectral images together with a panchromatic image, that is, an image containing …
Robust band-dependent spatial-detail approaches for panchromatic sharpening
G Vivone - IEEE transactions on Geoscience and Remote …, 2019 - ieeexplore.ieee.org
Pansharpening refers to the fusion of a multispectral (MS) image with a finer spectral
resolution but coarser spatial resolution than a panchromatic (PAN) image. The classical …
resolution but coarser spatial resolution than a panchromatic (PAN) image. The classical …
Emergency identification and influencing factor analysis of coseismic landslides and building damages induced by the 2023 Ms 6.2 Jishishan (Gansu, China) …
Objective: On 18th December 2023, an Ms 6.2 earthquake struck Jishishan County, Gansu
Province, China, which triggered a large number of coseismic landslides and caused …
Province, China, which triggered a large number of coseismic landslides and caused …
Haze correction for contrast-based multispectral pansharpening
In this letter, we show that pansharpening of visible/near-infrared (VNIR) bands takes
advantage from a correction of the path-radiance term introduced by the atmosphere during …
advantage from a correction of the path-radiance term introduced by the atmosphere during …
Active and semisupervised learning for the classification of remote sensing images
This paper aims at analyzing and comparing active learning (AL) and semisupervised
learning (SSL) methods for the classification of remote sensing (RS) images. We present a …
learning (SSL) methods for the classification of remote sensing (RS) images. We present a …
Structuring contemporary remote sensing image fusion
C Pohl, J van Genderen - International Journal of Image and Data …, 2015 - Taylor & Francis
The exploitation of multi-sensor images at pixel level is a widely implemented research field
in Earth observation. In this context, image fusion plays an important role since it effectively …
in Earth observation. In this context, image fusion plays an important role since it effectively …
[BOOK][B] Multisensor data fusion and machine learning for environmental remote sensing
In the last few years the scientific community has realized that obtaining a better
understanding of interactions between natural systems and the man-made environment …
understanding of interactions between natural systems and the man-made environment …
A novel context-sensitive semisupervised SVM classifier robust to mislabeled training samples
This paper presents a novel context-sensitive semisupervised support vector machine (CS 4
VM) classifier, which is aimed at addressing classification problems where the available …
VM) classifier, which is aimed at addressing classification problems where the available …
Assessment of the capability of sentinel-2 imagery for iron-bearing minerals map**: A case study in the cuprite area, nevada
With several bands covering iron-bearing mineral spectral features, Sentinel-2 has
advantages for iron map**. However, due to the inconsistent spatial resolution, the …
advantages for iron map**. However, due to the inconsistent spatial resolution, the …
Multispectral pansharpening with radiative transfer-based detail-injection modeling for preserving changes in vegetation cover
Whenever vegetated areas are monitored over time, phenological changes in land cover
should be decoupled from changes in acquisition conditions, like atmospheric components …
should be decoupled from changes in acquisition conditions, like atmospheric components …