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
57 stars
4 watching
13 forks
Language: Python
last commit: over 2 years ago
Linked from 1 awesome list
protontypes/open-sustainable-technologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
 ucsb-vrl/methanemapper-spectral-absorption-aware-hyperspectral-transformer-for-methane-detection | A deep learning-based solution for detecting methane in airborne hyperspectral imagery | 63 |
 spaceml-org/starcop | A framework for training and deploying hyperspectral machine learning models for methane plume detection from satellite imagery | 44 |
 hsg-aiml/industrialsmokeplumedetection | Detects industrial smoke plumes from satellite images using machine learning models and remote sensing data. | 40 |
 nshaud/deepnetsforeo | Developing deep learning models for Earth Observation using remote sensing images | 477 |
 yonghaoxu/rpnet | Matlab implementation of a deep learning-based method for classifying hyperspectral images | 56 |
 vmarsocci/3dcd | Automatically inferring 2D and 3D change detection maps from bitemporal optical images without relying on DSMs. | 29 |
 kgpml/hyperspectral | Developing Deep Learning models for classifying land covers in hyperspectral images using Neural Networks | 298 |
 martibosch/detectree | A Pythonic library for semantic tree segmentation from aerial imagery | 243 |
 mshiv/sat-seg | Develops semantic segmentation of satellite images using deep learning techniques | 10 |
 spectralpython/spectral | A Python module for processing and analyzing imaging spectroscopy data | 591 |
 daleroberts/bv | Tools for quickly viewing satellite and hyperspectral images in the terminal | 228 |
 cmu-create-lab/deep-smoke-machine | Develops deep learning models to recognize industrial smoke emissions from video feeds | 118 |
 mhscience/landslides_detection | Tool to detect landslides from satellite imagery using machine learning and image analysis | 94 |
 meiqihu/acda | Detects anomalies in hyperspectral images using an autoencoder-based approach | 45 |
 microsoft/roaddetections | Automating road detection from aerial imagery using deep learning techniques. | 541 |