Area01DF_surfacemodels

The Brazilian Federal District Area 01 dataset with surface models images to extract road network by deep learning fusion at the suburban area. This dataset contains high-resolution images split into training, validation, and test folders. Each folder contains img, imgm, and mask subfolders with GeoTIFF files (3034x3122 pixels) of 20cm spatial resolution. Subfolder "img" - RGB Orthoimages; "imgm" - surface models image (DSM, DTM, nDSM); "mask" - segmentation binary mask.本数据集为巴西联邦特区01号数据集，包含地表模型图像，用于通过深度学习融合方法提取郊区道路网络。该数据集包含高分辨率图像，并划分为训练、验证与测试三个文件夹。每个文件夹下设"img"、"imgm"与"mask"三个子文件夹，内含空间分辨率为20cm、像素尺寸为3034×3122的GeoTIFF文件。其中，子文件夹"img"存储RGB正射影像；"imgm"存储地表模型图像，涵盖数字表面模型DSM、数字地形模型DTM与归一化数字表面模型nDSM；"mask"存储分割二值掩码。