2020年中国典型城市道路样本数据

2020年中国6个代表城市（北京朝阳区、上海杨浦区、武汉市中心、深圳南山区、香港沙田区、澳门）部分道路样本数据是由来自中国地质大学（武汉）HPSCIL实验室的朱祺琪团队制作和共享，是国内首个具有代表性城市的新的大型卫星遥感影像道路数据集。该数据集由像素级的高分辨率卫星图像及其对应的人工标记组成，范围覆盖了中国6个代表性城市。

In 2020, partial road sample data from six representative Chinese cities (Chaoyang District, Beijing, Yangpu District, Shanghai, Wuhan City Center, Nanshan District, Shenzhen, Sha Tin District, Hong Kong, and Macau) was created and publicly shared by the Zhu Qiqi team from the HPSCIL Laboratory, China University of Geosciences (Wuhan). This is the first newly developed large-scale satellite remote sensing road dataset focusing on representative urban areas within China. The dataset consists of pixel-level high-resolution satellite imagery and their corresponding manual annotations, with coverage spanning the six aforementioned representative Chinese cities.

搜集汇总

背景与挑战

背景概述

该数据集是2020年中国六个典型城市（包括北京、上海、武汉、深圳、香港和澳门）的道路样本数据，由高分辨率卫星图像和对应的人工标记组成，空间分辨率为0.5米。它是首个大规模、多城市的卫星遥感道路数据集，主要用于支持深度学习和遥感图像道路提取研究，数据通过离线申请方式共享。