Results 171 to 180 of about 1,803 (195)

Vision Transformer for Pansharpening

IEEE Transactions on Geoscience and Remote Sensing, 2022
Xiangchao Meng, Nan Wang, Feng Shao 0001, Shutao Li 0001   +3 more
openaire   +1 more source

Hyperspectral pansharpening based on unmixing techniques

2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 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 resolution of the latter. In the last decade many pansharpening algorithms have been presented in the literature using multispectral data.
Laëtitia Loncan, Jocelyn Chanussot, Sophie Fabre, Xavier Briottet   +3 more
openaire   +2 more sources

Spectrally Consistent Pansharpening

2008
Several widely used methods have been proposed for fusing high resolution panchromatic data and lower resolution multi-channel data. However, many of these methods fail to maintain spectral consistency of the fused high resolution image, which is of high importance to many of the applications based on satellite data.
Ari Vesteinsson, Henrik Aanaes, Johannes R. Sveinsson, Jon Atli Benediktsson   +3 more
openaire   +1 more source

Bidomain Modeling Paradigm for Pansharpening

Proceedings of the 31st ACM International Conference on Multimedia, 2023
Junming Hou, Qi Cao, Ran Ran 0001, Che Liu 0004, Junling Li, Liang-Jian Deng   +5 more
openaire   +2 more sources

Neural Shrödinger bridge matching for pansharpening

Inverse Problems and Imaging
Recent diffusion probabilistic models (DPMs) in the field of pansharpening have gradually gained attention and achieved state-of-the-art (SOT A) performance. In this paper, we identify shortcomings in directly applying DPMs to the task of pansharpening as an inverse problem, including 1) initiating sampling directly from Gaussian noise neglects the low-
Cao, Zi-Han, Wu, Xiao, Deng, Liang-Jian, Vivone, Gemine   +3 more
openaire   +2 more sources

A Large-Scale Benchmark Data Set for Evaluating Pansharpening Performance: Overview and Implementation

IEEE Geoscience and Remote Sensing Magazine, 2021
Qiangqiang Yuan, Feng Shao, Huanfeng Shen   +2 more
exaly  

Machine Learning in Pansharpening: A Benchmark, From Shallow to Deep Networks

IEEE Geoscience and Remote Sensing Magazine, 2022
Giuseppe Scarpa, Gemine Vivone, Yongjun Zhang   +2 more
exaly  

Supervised-Unsupervised Combined Deep Convolutional Neural Networks for High-Fidelity Pansharpening

Information Fusion, 2023
Shutao Li, Feng Shao, Xiangchao Meng
exaly  

Atmospheric corrections for pansharpening

2017
Among remote sensing image fusion applications, panchromatic (Pan) sharpening, or pansharpening, of a multispectral (MS) image has received considerable attention over the last quarter of century. Pansharpening techniques take advantage of the complementary characteristics of spatial and spectral resolutions of MS and Pan data, in order to synthesize a
Luciano Alparone, Andrea Garzelli, Simone Lolli, Gemine Vivone   +3 more
openaire   +1 more source

UPanGAN: Unsupervised Pansharpening Based on the Spectral and Spatial Loss Constrained Generative Adversarial Network

Information Fusion, 2023
Qizhi Xu, Jie Qing Liu, Jinyan Nie
exaly