Results 151 to 160 of about 1,701 (201)

TEA-LWNet: a lightweight multispectral feature enhancement network based on RGB-NIR fusion for detection of tea leaf diseases and pests. [PDF]

Front Plant Sci
Wang Z, Wang F, Lin H.
europepmc   +1 more source

Enhancing Building Point Cloud Reconstruction from RGB UAV Data with Machine-Learning-Based Image Translation. [PDF]

Sensors (Basel)
Dippold EJ, Tsai F.
europepmc   +1 more source

Physics-Inspired Frequency-Decoupled Network for Remote Sensing Image Dehazing. [PDF]

Sensors (Basel)
Yang H, Chen X, Xu G.
europepmc   +1 more source

Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications. [PDF]

J Biomed Opt
Tran MH, Ma L, Yuan M, Fei B.
europepmc   +1 more source

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
europepmc   +1 more source

Hyperspectral Pansharpening: A Review [PDF]

IEEE Geoscience and Remote Sensing Magazine, 2015
Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate an image with the high spatial resolution of the former and the high spectral resolution of the latter. In the last decade, many algorithms have been presented in the literature for pansharpening using multispectral data.
Jean-Yves Tourneret, Miguel Simões, Nicolas Dobigeon   +2 more
exaly   +9 more sources

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.
Giuseppe Scarpa, Gemine Vivone, Magnus Ulfarsson   +2 more
exaly   +7 more sources

A Critical Comparison Among Pansharpening Algorithms [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2015
Pansharpening aims at fusing a multispectral and a panchromatic image, featuring the result of the processing with the spectral resolution of the former and the spatial resolution of the latter. In the last decades, many algorithms addressing this task have been presented in the literature.
Gemine Vivone, Wald Lucien, Luciano Alparone   +2 more
exaly   +6 more sources

A theoretical and practical survey of image fusion methods for multispectral pansharpening

Information Fusion, 2022
Pansharpening fuses the spatial features of a high-resolution panchromatic (PAN) image with the spectral features of a lower-resolution multispectral (MS) image to generate a spatially enriched MS image.
Oguz Güngör, Cigdem Serifoglu Yilmaz, Volkan Yilmaz   +2 more
exaly   +2 more sources

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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
openaire   +1 more source