Results 181 to 190 of about 4,917 (234)

Toward Generalizable Pansharpening: Conditional Flow-Based Learning Guided by Implicit High-Frequency Priors

IEEE Transactions on Geoscience and Remote Sensing
The goal of pansharpening is to restore the missing high-frequency details in the low-resolution multispectral (LRMS) image to generate its high-resolution multispectral (HRMS) counterpart by exploiting the high-resolution panchromatic (PAN) image as ...
Yingying Wang, Hui Zheng, Feifei Li, Yunlong Lin, Linyu Fan, Xuanhua He, Yue Huang, Xinghao Ding   +7 more
semanticscholar   +1 more source

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

DFCFN: Dual-Stage Feature Correction Fusion Network for Hyperspectral Pansharpening

IEEE Transactions on Geoscience and Remote Sensing
Hyperspectral (HS) pansharpening aims to fuse high-spatial-resolution panchromatic (PAN) images with low-spatial-resolution HS (LRHS) images to generate high-spatial-resolution HS (HRHS) images.
Xiaozheng Wang, Yong Yang, Shuying Huang, Weiguo Wan, Ziyang Liu, Long Zhang, Aoqi Zhao   +6 more
semanticscholar   +1 more source

FrMLNet: Framelet-Based Multilevel Network for Pansharpening

IEEE Transactions on Cybernetics, 2023
Most modern satellites can provide two types of images: 1) panchromatic (PAN) image and 2) multispectral (MS) image. The former has high spatial resolution and low spectral resolution, while the latter has high spectral resolution and low spatial resolution.
Tingting Wang, Faming Fang, Hao Zheng, Guixu Zhang   +3 more
openaire   +2 more sources

MFT-GAN: A Multiscale Feature-Guided Transformer Network for Unsupervised Hyperspectral Pansharpening

IEEE Transactions on Geoscience and Remote Sensing
Unsupervised learning, learning data distributions without needing labeled samples, is a particularly promising approach for solving the challenging task of hyperspectral pansharpening.
Y. Shang, Jianjun Liu, Jingyi Zhang, Zebin Wu   +3 more
semanticscholar   +1 more source

Model-Based Reduced-Rank Pansharpening

IEEE Geoscience and Remote Sensing Letters, 2020
Observation of the Earth using satellites mounted with optical sensors is an important application of remote sensing. Owing to physical constraints, multispectral (MS) sensors acquire images of lower spatial resolution than a single-band panchromatic (PAN) sensor that acquires images of the same scene.
Frosti Palsson, Magnus O. Ulfarsson, Johannes R. Sveinsson   +2 more
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CDME: Convolutional Dictionary Iterative Model for Pansharpening With Mixture of Experts

IEEE Geoscience and Remote Sensing Letters
In this letter, we propose a convolutional dictionary iterative model for pansharpening with a mixture of experts. First, we define an observation model to model the common and unique feature information between multispectral (MS) and panchromatic (PAN ...
Zixu Li, Ying Gao, Genji Yuan, Zhen Hua, Jinjiang Li   +4 more
semanticscholar   +1 more source

Quality analysis of pansharpened images

IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004, 2004
In general, image fusion or sharpening is of great importance to various remote sensing and mapping applications, where the spatial information from a "high-resolution" image is merged with the radiometric information from a "low-resolution" image.
V. Vijayaraj, C.G. O'Hara, N.H. Younan
openaire   +1 more source

Invertible Attention-Guided Adaptive Convolution and Dual-Domain Transformer for Pansharpening

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Pansharpening is the process of fusing a multispectral (MS) image with a panchromatic image to produce a high-resolution MS (HRMS) image. However, existing techniques face challenges in integrating long-range dependencies to correct locally misaligned ...
Qun Song, Hangyuan Lu, Chang Xu, Rixian Liu, Weiguo Wan, Wei Tu   +5 more
semanticscholar   +1 more source

Pansharpening

2019
With the increasing of satellite missions, data fusion is growing attention in recent years. Pansharpening, which stands for panchromatic (PAN) sharpening, is a particular data fusion problem based on the enhancement of the spatial resolution of a multispectral image, thanks to the use of PAN data.
openaire   +1 more source