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[ISPRS JP&RS 2018] Hyperspectral Image Classification via a Random Patches Network

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Hyperspectral Image Classification via a Random Patches Network

Matlab implementation of our method for hyperspectral image classification.

Paper

Hyperspectral Image Classification via a Random Patches Network

Please cite our paper if you find it useful for your research.

@article{rpnet,
  title={Hyperspectral image classification via a random patches network},
  author={Xu, Yonghao and Du, Bo and Zhang, Fan and Zhang, Liangpei},
  journal={ISPRS Journal of Photogrammetry and Remote Sensing},
  volume={142},
  pages={344--357},
  year={2018}
}

Installation

  • Clone this repo.
git clone https://github.com/YonghaoXu/RPNet

Dataset

  • We have uploaded the Indian Pines image and the corresponding annotations into the dataset folder.

Usage

  • Add the directory path for the dependencies files in RPNet.m.
addpath(genpath('/utils/'))
addpath(genpath('/dataset/'))

You may change these two commands according to your environment.

  • Run RPNet.m.

Acknowledgement

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