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MethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection

MethaneMapper is a fast and accurate deep learning based solution for methane detection from airborne hyperspectral imagery. MethaneMapper introduces a spectral absorption wavelength aware transformer network and largest public dataset called Methane HotSpot dataset (MHS). This repository contains code for MethaneMapper, scripts to download and online tool to visualize dataset.

MethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection

Satish Kumar*, Ivan Arevalo, A S M Iftekhar, B S Manjunath.

Official repository of our CVPR 2023 (Highlights) paper.

<img src="./docs/mainpage_github.gif" width="700">

This repository includes:

supported versions Library GitHub license

The repository follows the structure of paper, making it easy to follow and use/extend the work. If this research is helpful to you, please consider citing our paper (bibtex below)

Citing

If this research is helpful to you, please consider citing our paper:

@inproceedings{kumar2023methanemapper,
  title={Methanemapper: Spectral absorption aware hyperspectral transformer for methane detection},
  author={Kumar, Satish and Arevalo, Ivan and Iftekhar, ASM and Manjunath, BS},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={17609--17618},
  year={2023}
}

Usage

Requirements

Installation

  1. Clone the repository
  2. Install dependencies
pip install -r requirements.txt

Data Visualization

Please checkout to the BisQue

Download Methane HotSpot (MHS) Dataset

Please follow the tutorial MHS_dataset to download dataset

Training

Follow the training tutorial Here

For Developers

Please refer to CONTRIBUTING.md for contribution to the repository. Thank you!

License

MethaneMapper is released under the UCSB license. Please see the LICENSE file for more information.