基于无人机近景监测的徐州市北望村固废场影像数据（2021）

本数据集通过采用无人机近景监测手段，采集了徐州市北望村固废场影像，并组成固废堆场影像数据集。通过让无人机在不同时段、不同飞行高度以及不同角度对固废堆场进行倾斜摄影作业，来增加影像的时间（光照强度）多样性和空间多样性，保证算法训练结果的周密性、全面性。该数据集可为固废堆场体量与组分识别提供样本案例，有助于训练并验证相关算法精度。

This dataset collects images of the solid waste landfill in Beiwang Village, Xuzhou City using unmanned aerial vehicle (UAV) close-range monitoring methods, and forms a solid waste yard image dataset. By conducting oblique photography operations on the solid waste yard with the UAV at different time periods, flight altitudes and angles, the temporal (light intensity) and spatial diversity of the images are enhanced, thereby ensuring the comprehensiveness and thoroughness of the algorithm training results. This dataset can provide sample cases for the identification of the volume and composition of solid waste yards, and help train and verify the accuracy of relevant algorithms.

搜集汇总

背景与挑战

背景概述

该数据集包含2021年徐州市北望村固废场的无人机近景监测影像，通过不同时间、高度和角度的斜摄影增加图像多样性，主要用于固废场体积和成分识别的算法训练与验证。数据由西南交通大学赵锐团队采集，属于测绘科学与技术领域的摄影测量与遥感技术类别。