Results 91 to 100 of about 1,701 (201)

Variational Zero-Shot Multispectral Pansharpening

IEEE Transactions on Geoscience and Remote Sensing
Pansharpening aims to generate a high spatial resolution multispectral image (HRMS) by fusing a low spatial resolution multispectral image (LRMS) and a panchromatic image (PAN). The most challenging issue for this task is that only the to-be-fused LRMS and PAN are available, and the existing deep learning-based methods are unsuitable since they rely on
Xiangyu Rui, Xiangyong Cao, Yining Li, Deyu Meng   +3 more
openaire   +3 more sources

Comparison of nine hyperspectral pansharpening methods

, 2015
Pansharpening first aims at fusing a panchromatic image with a multispectral image to generate an image with the high spatial resolution of the former and the spectral resol ution of the latter.
Liao, Wenzhi, Briottet, Xavier, Chanussot, Jocelyn, Dobigeon, Nicolas, Simoes, Miguel, Fabre, Sophie, Loncan, Laetitia, Veganzones, Miguel A, Bioucas Dias, Jose, Liao, WenzhiTW070000918519268020008033180000-0002-2183-03242434B67E-F0EE-11E1-A9DE-61C894A0A6B4, Yokoya, Naoto, Pascazio, Vitoeditor, Almeida, Luís B, Wei, Qi, Vivone, Gemine, Tourneret, Jean-Yves, Licciardi, Giorgio   +16 more
core  

PanDiM: A Diffusion Mamba Network for High-Fidelity Pansharpening

Remote Sensing
Pansharpening plays an important role in remote sensing image processing. Its purpose is to fuse a high-spatial-resolution panchromatic (PAN) image and a low-spatial-resolution multispectral (LRMS) image, thereby reconstructing a high-resolution ...
Haobo Xu, Yao Zhang, Lingfeng Lin, Jiajin Wu, Boxiang Xie, Wei Zhang, Honggang Li, Jing Qu   +7 more
doaj   +1 more source

Testing the Impact of Pansharpening Using PRISMA Hyperspectral Data: A Case Study Classifying Urban Trees in Naples, Italy

Remote Sensing
Urban trees support vital ecological functions and help with the mitigation of and adaption to climate change. Yet, their monitoring and management require significant public resources. remote sensing could facilitate these tasks.
Miriam Perretta, Gabriele Delogu, Cassandra Funsten, Alessio Patriarca, Eros Caputi, Lorenzo Boccia   +5 more
doaj   +1 more source

Implementation of Nonlocal Pansharpening Image Fusion

, 2014
This paper focuses on the implementation of the pansharpened image fusion technique proposedin the companion paper [A Nonlocal Variational Model for Pansharpening Image Fusion, SIAMJournal on Imaging Sciences, 2014, to appear].
Joan Duran, Antoni Buades, Bartomeu Coll, Catalina Sbert   +3 more
core   +1 more source

A novel pansharpening: when multiscale adaptive attention meets dual enhanced networks and low-rank tensor decomposition

International Journal of Digital Earth
Deep learning (DL) has achieved advanced results in pansharpening remote sensing images. However, existing DL-based methods still have several drawbacks, such as incomplete feature extraction and insufficient information fusion.
Hengyou Wang, Jie Zhang, Tingting Zhang, Zheng Zhang, Lianzhi Huo   +4 more
doaj   +1 more source

Influence of Pansharpening in Obtaining Accurate Vegetation Maps

Canadian Journal of Remote Sensing, 2017
In recent decades, there has been a decline in ecosystem services. Thus, the development of reliable methodologies to monitor ecosystems is becoming important.
Edurne Ibarrola-Ulzurrun, Consuelo Gonzalo-Martín, Javier Marcello   +2 more
doaj   +1 more source

Performance Evaluation of Pansharpening Methods on GPU for RASAT Images

, 2015
Turkey is among the countries which could develop earth observation satellites. RASAT and Gokturk-2 satellites are still operational and continuously acquire images of the Earth. Their images are processed before sharing with end users. Pansharpening, at
Acikgoz, Ibrahim Serdar, KUTBAY, UĞURHAN, HARDALAÇ, FIRAT, Teke, Mustafa   +3 more
core   +1 more source

Pansharpening largely preserves the normalized difference vegetation index: a multi-sensor comparison with PRISMA, Landsat 9, and field spectroscopy

Frontiers in Remote Sensing
Pansharpening is widely used to increase the spatial resolution of satellite imagery, yet its effects on vegetation indices derived from hyperspectral sensors remain poorly quantified.
Jan Procházka, Jan Komárek, David Moravec, Jiří Rous, Tomáš Klouček   +4 more
doaj   +1 more source

A Progressive Spectral Correction and Spatial Compensation Network for Pansharpening

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Pansharpening aims to produce a high resolution multispectral image by fusing a panchromatic image with a low-resolution multispectral image. Current pansharpening methods often overlook the significant modality differences between source images and lack
Rixian Liu, Hangyuan Lu, Biwei Chi, Yong Yang, Shuying Huang   +4 more
doaj   +1 more source