Methane-detection-from-hyperspectral-imagery

Methane detection methods

Methods for detecting methane in hyperspectral imagery using deep learning algorithms.

Deep Learning based Remote Sensing Methods for Methane Detection in Airborne Hyperspectral Imagery

GitHub

57 stars
4 watching
13 forks
Language: Python
last commit: over 3 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
ucsb-vrl/methanemapper-spectral-absorption-aware-hyperspectral-transformer-for-methane-detectionA deep learning-based solution for detecting methane in airborne hyperspectral imagery63
spaceml-org/starcopA framework for training and deploying hyperspectral machine learning models for methane plume detection from satellite imagery44
hsg-aiml/industrialsmokeplumedetectionDetects industrial smoke plumes from satellite images using machine learning models and remote sensing data.40
nshaud/deepnetsforeoDeveloping deep learning models for Earth Observation using remote sensing images477
yonghaoxu/rpnetMatlab implementation of a deep learning-based method for classifying hyperspectral images56
vmarsocci/3dcdAutomatically inferring 2D and 3D change detection maps from bitemporal optical images without relying on DSMs.29
kgpml/hyperspectralDeveloping Deep Learning models for classifying land covers in hyperspectral images using Neural Networks298
martibosch/detectreeA Pythonic library for semantic tree segmentation from aerial imagery243
mshiv/sat-segDevelops semantic segmentation of satellite images using deep learning techniques10
spectralpython/spectralA Python module for processing and analyzing imaging spectroscopy data591
daleroberts/bvTools for quickly viewing satellite and hyperspectral images in the terminal228
cmu-create-lab/deep-smoke-machineDevelops deep learning models to recognize industrial smoke emissions from video feeds118
mhscience/landslides_detectionTool to detect landslides from satellite imagery using machine learning and image analysis94
meiqihu/acdaDetects anomalies in hyperspectral images using an autoencoder-based approach45
microsoft/roaddetectionsAutomating road detection from aerial imagery using deep learning techniques.541