数据链接：
官方服务：
资源简介：
包含高分辨率遥感图像和语义标签对应两个层次的数据集。
应用场景：
创建时间：
2024-04-12
相关数据集
Multi-Source High-Resolution Building Segmentation Datasets for Remote Sensing
This data collection includes three datasets: a self-collected UAV dataset from Yushu Plateau, the Massachusetts Buildings Dataset, and the Inria Aerial Image Labeling Dataset.
IEEE110
Code for the single U-Net model (Model 11).
Land cover and plant species identification using satellite images and deep learning approaches have recently been a widely addressed area of research. However, mangroves, a specific species that have
Figshare2025-08-06 更新50
PVMultiSegNet: Framework for Simultaneous Segmentation of Rooftop and Ground-...
A deep learning framework for simultaneous segmentation of rooftop and ground-mounted photovoltaic (PV) systems using multispectral remote sensing data. Extract the ZIP folder...
B2FIND60
"Multi-Source High-Resolution Building Segmentation Datasets for Remote Sensing"
"This data collection includes three datasets: a self-collected UAV dataset from Yushu Plateau, the Massachusetts Buildings Dataset, and the Inria Aerial Image Labeling Dataset."
DataCite Commons2025-12-27 更新50
