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Rethinking Infrared and Visible Image Fusion from a Heterogeneous Content Synergistic Perception Perspective. [PDF]

Sensors (Basel)
Shen M, Huang G, Ju M, Ma KK.
europepmc   +1 more source

Deep learning with satellite images enables high-resolution income estimation: A case study of Buenos Aires. [PDF]

PLoS One
Abbate NF, Gasparini L, Ronchetti F, Quiroga FM.   +3 more
europepmc   +1 more source

Trends in Snapshot Spectral Imaging: Systems, Processing, and Quality. [PDF]

Sensors (Basel)
Thomas JB, Lapray PJ, Le Moan S.
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Old-growth forest patches are widespread outside nature reserves in Southern China

Tong X, Xu Q, Yue Y, Wang K, Du H, Fensholt R, Li S, Xu X, Bai Y, Yang X, Gominski D, Ciais P, Chave J, Chen Z, Jepsen M, Igel C, Liu S, Qi X, Brandt M.   +18 more
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Large-scale characterization of forest structure and complexity from remote sensing optical images

Xu X, Tong X, Brandt M, Yue Y, Mugabowindekwe M, Li S, Xu Q, Liu S, Reiner F, Wang K, Chen Z, Bai Y, Fensholt R.   +12 more
europepmc   +1 more source

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A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods

IEEE Geoscience and Remote Sensing Magazine, 2021
Pansharpening refers to the fusion of a multispectral (MS) image and panchromatic (PAN) data aimed at generating an outcome with the same spatial resolution of the PAN data and the spectral resolution of the MS image. In the last 30 years, several approaches to deal with this issue have been proposed.
Gemine Vivone, Mauro Dalla Mura, Andrea Garzelli, Rocco Restaino, Giuseppe Scarpa, Magnus O. Ulfarsson, Luciano Alparone, Jocelyn Chanussot   +7 more
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Detail Injection-Based Deep Convolutional Neural Networks for Pansharpening

IEEE Transactions on Geoscience and Remote Sensing, 2021
The fusion of high spatial resolution panchromatic (PAN) data with simultaneously acquired multispectral (MS) data with the lower spatial resolution is a hot topic, which is often called pansharpening.
Liang-Jian Deng, G. Vivone, Cheng Jin, J. Chanussot   +3 more
semanticscholar   +1 more source

Dynamic Hyperspectral Pansharpening CNNs

IEEE Transactions on Geoscience and Remote Sensing, 2023
Hyperspectral (HS) pansharpening seeks to integrate low spatial resolution HS (LRHS) images with connected panchromatic (PAN) images to produce high spatial resolution HS (HRHS) images. Traditional pansharpening convolutional neural networks (CNNs) directly map LRHS and PAN images into HRHS images under fixed network parameters, which imply static ...
He, Lin, Xi, Dahan, Li, Jun, Lai, Honghao, Plaza, Antonio, Chanussot, Jocelyn   +5 more
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Compressed Hyperspectral Pansharpening

2020 IEEE International Conference on Image Processing (ICIP), 2020
Hyperspectral (HS) imaging based on compressed sensing (CS) is actively studied to capture an HS image in one shot. Although CS can reconstruct an HS image from a much less number of random observations, capturing an HS image of high spatial and spectral resolution (HR-HS image) is still difficult because of current imaging systems.
Saori Takeyama, Shunsuke Ono
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Hyperspectral Pansharpening With Deep Priors

IEEE Transactions on Neural Networks and Learning Systems, 2020
Hyperspectral (HS) image can describe subtle differences in the spectral signatures of materials, but it has low spatial resolution limited by the existing technical and budget constraints. In this paper, we propose a promising HS pansharpening method with deep priors (HPDP) to fuse a low-resolution (LR) HS image with a high-resolution (HR ...
Weiying Xie, Jie Lei, Yuhang Cui, Yunsong Li, Qian Du   +4 more
openaire   +2 more sources