A simple software for processing hyperspectral data

Introduction

This is the source code of our data processing tool that we use in our paper for processing hyperspectral data.

Our paper:Apple Surface Pesticide Residue Detection Method Based on Hyperspectral Imaging

It still has some bugs to fix and some features to be implemented.

The code written at the time was very messy. Recently, I will try to make the code clearer to read and easier to maintain.

Requirements

Python3
PyQt5
numpy
pandas
python-opencv

ToDo List

Rearrange the code structure, make it easier to maintain
Rewrite the code of manually select the ROI(Region Of Interest)
Support 'bil' format hyperspectral data
...

Finished

Read and display basic information of 'raw' format data
Display spectral curve
Select a region of interest (Our target is Apple, so we use Hough Circle Transform)
Category classification(Also designed for our work)
...

How To Run

The source code was already tested on Windows 10, Ubuntu 18.04 and deepin 15.10.

python main.py

Citation

If you find our work useful, please star our repo. Also, you could cite our paper. 😊 Thanks! 😊.

@InProceedings{Jia2018PesticideDetection,
	author="Jia, Yaguang and He, Jinrong and Fu, Hongfei and Shao, Xiatian and Li, Zhaokui",
	title="Apple Surface Pesticide Residue Detection Method Based on Hyperspectral Imaging",
	booktitle="Intelligence Science and Big Data Engineering",
	year="2018",
	publisher="Springer International Publishing",
	address="Cham",
	pages="539--556",
	isbn="978-3-030-02698-1"
}