Mohamed Fadhlallah Guerri, Cosimo Distante, Paolo Spagnolo, Fares Bougourzi, Abdelmalik Taleb-Ahmed Boosting Hyperspectral Image Classification with Gate-Shift-Fuse Mechanisms in a Novel CNN-Transformer Approach https://arxiv.org/abs/2406.14120
🛰️The hyperspectral research community is coming to #Munich#EnMAPenmap.geographie-muenchen.de#EnMAP2025#RemoteSensing#LMU
Accurate non-invasive quantification of astaxanthin content using hyperspectral images and machine learning www.biorxiv.org/content/10.1101/2024.09.23.614444v1
Commercial cultivation of the microalgae Haematococcus pluvialis to produce natural astaxanthin has
Hyperspectral imaging has a limited ability to remotely sense the onset of beech bark disease www.biorxiv.org/content/10.1101/2024.09.20.614150v1
Insect and pathogen outbreaks have a major impact on northern forest ecosystems. Even for pathogens
A consensus-constrained parsimonious Gaussian mixture model for clustering hyperspectral images https://arxiv.org/abs/2403.03349 arXiv:2403.03349v1 Announce Type: new Abstract: The use of hyperspectral imaging to investigate food samples has grown due to the improved performance and lower cost o 📈🤖
Li Pang, Datao Tang, Shuang Xu, Deyu Meng, Xiangyong Cao HSIGene: A Foundation Model For Hyperspectral Image Generation https://arxiv.org/abs/2409.12470
Recent applications of hyperspectral imaging in microbiology Talanta - Gowen, 2015
First compositional analysis of Ryugu samples by the MicrOmega hyperspectral microscope Nat Astron - Pilorget, 2021
Nick Theisen, Robin Bartsch, Dietrich Paulus, Peer Neubert HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios https://arxiv.org/abs/2409.11205