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https://github.com/UCSB-VRL/MethaneMapper-Spectral-Absorption-aware-Hyperspectral-Transformer-for-Methane-Detection

MethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection
https://github.com/UCSB-VRL/MethaneMapper-Spectral-Absorption-aware-Hyperspectral-Transformer-for-Methane-Detection

Last synced: about 2 months ago
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MethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection

Host: GitHub
URL: https://github.com/UCSB-VRL/MethaneMapper-Spectral-Absorption-aware-Hyperspectral-Transformer-for-Methane-Detection
Owner: UCSB-VRL
License: other
Created: 2023-03-24T19:36:51.000Z (almost 2 years ago)
Default Branch: main
Last Pushed: 2024-02-16T06:29:08.000Z (11 months ago)
Last Synced: 2024-10-29T19:41:51.788Z (2 months ago)
Language: Python
Size: 46.1 MB
Stars: 60
Watchers: 9
Forks: 8
Open Issues: 2
Metadata Files:
- Readme: README.md
- Contributing: docs/CONTRIBUTING.md
- License: LICENSE

Awesome Lists containing this project

open-sustainable-technology - MethaneMapper - A fast and accurate deep learning based solution for methane detection from airborne hyperspectral imagery. (Emissions / Emission Observation and Modeling)

README

        ## 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**](https://openaccess.thecvf.com/content/CVPR2023/papers/Kumar_MethaneMapper_Spectral_Absorption_Aware_Hyperspectral_Transformer_for_Methane_Detection_CVPR_2023_paper.pdf)

[Satish Kumar*](https://www.linkedin.com/in/satish-kumar-81912540/), [Ivan Arevalo](https://www.linkedin.com/in/ivanfarevalo/), [A S M Iftekhar](), [B S Manjunath](https://vision.ece.ucsb.edu/people/bs-manjunath).

Official repository of our [**CVPR 2023 (Highlights)**](https://openaccess.thecvf.com/content/CVPR2023/papers/Kumar_MethaneMapper_Spectral_Absorption_Aware_Hyperspectral_Transformer_for_Methane_Detection_CVPR_2023_paper.pdf) paper.



This repository includes:

* Source code of MethaneMapper.

* Pre-trained weights for methane plume bounding box detector and segmentation mask

* Scripts to download MHS dataset

* Online tool to visualize MHS dataset ([**BisQue**](https://bisque2.ece.ucsb.edu/client_service/view?resource=https://bisque2.ece.ucsb.edu/data_service/00-kKkPJUHK6KJDEVBRfDpmmA))

* Code for custom data preparation for training/testing

* Code for mapping ground truth masks from CarbonMapper to AVIRIS-NG flightline

* Annotation generator to read-convert mask annotation into json.

![supported versions](https://img.shields.io/badge/python-(3.8--3.10)-brightgreen/?style=flat&logo=python&color=green)

![Library](https://img.shields.io/badge/Library-Pytorch-blue)

![GitHub license](https://img.shields.io/cocoapods/l/AFNetworking)

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

- Linux or macOS with Python >= 3.7

- Pytorch >= 1.7.0

- CUDA >= 10.0

- cudNN (compatible with CUDA)

### Installation

1. Clone the repository

2. Install dependencies

```

pip install -r requirements.txt

```

### Data Visualization

Please checkout to the [BisQue](https://github.com/UCSB-VRL/MethaneMapper-Spectral-Absorption-aware-Hyperspectral-Transformer-for-Methane-Detection/blob/main/data/visualize_data/README.md)

### Download Methane HotSpot (MHS) Dataset

Please follow the tutorial [MHS_dataset](https://github.com/UCSB-VRL/MethaneMapper-Spectral-Absorption-aware-Hyperspectral-Transformer-for-Methane-Detection/tree/main/mhs_dataset) to download dataset

### Training

Follow the training tutorial [Here](https://github.com/UCSB-VRL/MethaneMapper-Spectral-Absorption-aware-Hyperspectral-Transformer-for-Methane-Detection/blob/main/methanemapper/README.md)

## For Developers

Please refer to [CONTRIBUTING.md](https://github.com/UCSB-VRL/MethaneMapper-Spectral-Absorption-aware-Hyperspectral-Transformer-for-Methane-Detection/blob/main/docs/CONTRIBUTING.md) for contribution to the repository. Thank you!

## License

MethaneMapper is released under the UCSB license. Please see the [LICENSE](./LICENSE) file for more information.