Data supporting: 'Rock Segmentation in the Navigation Vision of the Planetary Rovers (source code + datasets + results)'

This project includes all source codes, datasets, and trained models for our latest publication titled: Rock Segmentation in the Navigation Vision of the Planetary Rovers. This research proposes a labor-saved solution for rock segmentation based on a synthetic algorithm, a rock segmentation framework, and a new neural network (NI-U-Net++). The details of this project are as follows: (i) The datasets file includes datasets of the rock segmentation research. (ii) The "experimental results" file contains all the figures and trained models.

The codes was tested in Ubuntu 18.04, Python 3.6, TensorFlow 2.1 (GPU), and OpenCV 4.1. Other dependencies include Numpy, Scikit-learn, Matplotlib, Counter, OS, time, etc.

More details can be found in our publication:

B. Kuang, M. Wisniewski, Z. A. Rana, and Y. Zhao, “Rock Segmentation in the Navigation Vision of the Planetary Rovers,” Mathematics, vol. 9, no. 23, p. 3048, Nov. 2021. doi: https://doi.org/10.3390/math9233048.