CNN training of satellite images for "Detection and tracking barchan dunes using Artificial Intelligence"

This is part of the dataset concerning the YOLO training of satellite images (Barchan dunes). In this dataset, you find the "YOLOv8 train" folder that contains the structure and images obtained from HiRISE, CTX global mosaic, Google Earth Pro, and Copernicus. We saved the images with the HiView, Google Earth Pro, and Copernicus software to train a CNN with images of barchan dunes, the "Train Results" folder that contains the figures and weights of YOLO detection of barchan dunes, the "Earth detections" that contains some barchan dune detections on different locations of Earth, the "Mars detections" that contains some barchan dune detections on different locations of Mars, and the "Code Files" that contains the scripts to detect barchan dunes, train a YOLOv8, convert masks to polygons and plot resulting YOLO parameters.

本数据集为卫星图像（新月形沙丘）YOLO训练相关数据集的组成部分。本数据集包含「YOLOv8训练」文件夹，其内存储了从HiRISE、CTX全球镶嵌图、Google Earth Pro以及哥白尼计划（Copernicus）获取的图像与目录结构；本研究团队使用HiView、Google Earth Pro及哥白尼计划相关软件处理并保存图像，以基于新月形沙丘图像训练卷积神经网络（Convolutional Neural Network，CNN）。「训练结果」文件夹存储了用于新月形沙丘目标检测的YOLO模型权重与可视化成果图；「地球检测结果」文件夹收录了地球不同区域的新月形沙丘检测样例；「火星检测结果」文件夹收录了火星不同区域的新月形沙丘检测样例；「代码文件」文件夹则存储了用于新月形沙丘目标检测、YOLOv8模型训练、掩码转多边形以及可视化YOLO训练参数的相关脚本。