SagarLekhak/pfm1-landmine-uav-vnir-hsi-IGARSS-2026

<p align="center"> PFM-1 Landmine VNIR Hyperspectral Imaging Dataset (IGARSS 2026)</p>

<p align="center"> <a href="https://arxiv.org/abs/2602.10434"><img src="https://img.shields.io/badge/Paper-IGARSS%202026-blue" alt="Paper"></a> <a href="https://github.com/PrasannaPulakurthi/pfm1-hsi-benchmark"><img src="https://img.shields.io/badge/GitHub-pfm1--hsi--benchmark-green" alt="Dataset"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License: MIT"></a> </p>

Dataset Description

This dataset 1 contains Visible and Near-Infrared (VNIR) Hyperspectral Imaging (HSI) data prepared for the IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2026.

This specific version is a refined subset of the original benchmark dataset 2. While the original release provided full radiance cubes, broad GCP/AeroPoint data, and reference ground spectra of all the targets, this version focuses on a spatially subsetted region containing only PFM-1 landmine targets and includes high-accuracy, pixel-wise binary ground truth masks.

The data was collected over a controlled test field seeded with 143 realistic surrogate landmine and UXO targets (surface, partially buried, and fully buried). Data acquisition was performed using a Headwall Nano-Hyperspec® sensor mounted on a multi-sensor UAV platform flown at an altitude of ~20.6 m 2.

For more details regarding data acquistion and preprocessing, go to the original paper 2.

• —Sensor: [Headwall Nano-Hyperspec®]
• —Spectral Range: [398–1002 nm]
• —Number of Bands: [270 bands]
• —Approximate GSD: [Approx. 1.29 cm]

Dataset File Structure

The dataset is organized as follows:

Usage

Download

pip install huggingface_hub

from huggingface_hub import snapshot_download
 
snapshot_download(repo_id="SagarLekhak/pfm1-landmine-uav-vnir-hsi-IGARSS-2026", repo_type="dataset", local_dir="./data")

To load the data using Python

import spectral.io.envi as envi

# Load the hyperspectral cube
img = envi.open('site_with_only_mines.hdr', 'site_with_only_mines')
print(f"Loaded cube with {img.shape[2]} spectral bands.")

Citation

If you use this dataset, please cite the specific IGARSS 2026 work 1 and the original benchmark paper 2:

<a name="ref1"></a> [1] IGARSS 2026 Work:

@misc{lekhak2026benchmarkingdeeplearningstatistical,
      title={Benchmarking Deep Learning and Statistical Target Detection Methods for PFM-1 Landmine Detection in UAV Hyperspectral Imagery}, 
      author={Sagar Lekhak and Prasanna Reddy Pulakurthi and Ramesh Bhatta and Emmett J. Ientilucci},
      year={2026},
      eprint={2602.10434},
      archivePrefix={arXiv},
      primaryClass={eess.IV},
      url={https://arxiv.org/abs/2602.10434}, 
}

<a name="ref2"></a> [2] Original Benchmark Dataset:

@misc{lekhak2026uavbasedvnirhyperspectralbenchmark,
      title={A UAV-Based VNIR Hyperspectral Benchmark Dataset for Landmine and UXO Detection}, 
      author={Sagar Lekhak and Emmett J. Ientilucci and Jasper Baur and Susmita Ghosh},
      year={2026},
      eprint={2510.02700},
      archivePrefix={arXiv},
      primaryClass={eess.IV},
      url={https://arxiv.org/abs/2510.02700}, 
}