A review of deep learning used in the hyperspectral image analysis for agriculture
C Wang, B Liu, L Liu, Y Zhu, J Hou, P Liu… - Artificial Intelligence …, 2021 - Springer
Hyperspectral imaging is a non-destructive, nonpolluting, and fast technology, which can
capture up to several hundred images of different wavelengths and offer relevant spectral …
capture up to several hundred images of different wavelengths and offer relevant spectral …
MethaNet–An AI-driven approach to quantifying methane point-source emission from high-resolution 2-D plume imagery
Methane is one of the most important anthropogenic greenhouse gases with a significant
impact on the Earth's radiation budget and tropospheric background ozone. Despite a well …
impact on the Earth's radiation budget and tropospheric background ozone. Despite a well …
The challenge of estimating global termite methane emissions
SJ Law, SD Allison, AB Davies… - Global Change …, 2024 - Wiley Online Library
Methane is a powerful greenhouse gas, more potent than carbon dioxide, and emitted from
a variety of natural sources including wetlands, permafrost, mammalian guts and termites …
a variety of natural sources including wetlands, permafrost, mammalian guts and termites …
Methanemapper: Spectral absorption aware hyperspectral transformer for methane detection
S Kumar, I Arevalo, ASM Iftekhar… - Proceedings of the …, 2023 - openaccess.thecvf.com
Methane (CH 4) is the chief contributor to global climate change. Recent Airborne Visible-
Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) has been very useful in …
Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) has been very useful in …
Dual-Branch Fourier-Mixing Transformer Network for Hyperspectral Target Detection
In recent years, transformers have shown great potential in hyperspectral image processing
and have also been gradually applied in hyperspectral target detection (HTD). Nonetheless …
and have also been gradually applied in hyperspectral target detection (HTD). Nonetheless …
Machine learning for methane detection and quantification from space-a survey
Methane ($ CH_4 $) is a potent anthropogenic greenhouse gas, contributing 86 times more
to global warming than Carbon Dioxide ($ CO_2 $) over 20 years, and it also acts as an air …
to global warming than Carbon Dioxide ($ CO_2 $) over 20 years, and it also acts as an air …
Stressnet: detecting stress in thermal videos
Precise measurement of physiological signals is critical for the effective monitoring of human
vital signs. Recent developments in computer vision have demonstrated that signals such as …
vital signs. Recent developments in computer vision have demonstrated that signals such as …
Joint use of in-scene background radiance estimation and optimal estimation methods for quantifying methane emissions using prisma hyperspectral satellite data …
N Nesme, R Marion, O Lezeaux, S Doz… - Remote Sensing, 2021 - mdpi.com
Methane (CH4) is one of the most contributing anthropogenic greenhouse gases (GHGs) in
terms of global warming. Industry is one of the largest anthropogenic sources of methane …
terms of global warming. Industry is one of the largest anthropogenic sources of methane …
Gtnet: Guided transformer network for detecting human-object interactions
The human-object interaction (HOI) detection task refers to localizing humans, localizing
objects, and predicting the interactions between each human-object pair. HOI is considered …
objects, and predicting the interactions between each human-object pair. HOI is considered …
Locl: Learning object-attribute composition using localization
This paper describes LOCL (Learning Object Attribute Composition using Localization) that
generalizes composition zero shot learning to objects in cluttered and more realistic settings …
generalizes composition zero shot learning to objects in cluttered and more realistic settings …