MVRSD_dataset

The dataset is derived from Google Earth data, collected 3,000 remotely sensed images from more than 40 military scenarios within Asia, North America and Europe, and 32,626 military vehicle targets were acquired from the remotely sensed images. The spatial resolution of the image is 0.3m and the size is 640× 640. The dataset consists of remotely sensed images and corresponding labeled files, and the targets were manually selected and classified by experts through the interpretation of high-resolution optical images. The granular categories in the dataset are divided into five categories based on vehicle size and military function: Small Military Vehicles (SMV), Large Military Vehicles (LMV), Armored Fighting Vehicles (AFV), Military Construction Vehicles (MCV), and Civilian Vehicles (CV). Military Construction Vehicles (MCV), Civilian Vehicles (CV). The geographic environments of the samples include cities, plains, mountains and deserts.

本数据集源自谷歌地球（Google Earth）数据，从亚洲、北美及欧洲的40余个军事场景中采集了3000幅遥感影像（remotely sensed images），并从这些遥感影像中提取得到32626个军用车辆目标。该影像的空间分辨率（spatial resolution）为0.3米，尺寸为640×640。本数据集包含遥感影像及其配套标注文件，所有目标均由专家通过高分辨率光学影像（high-resolution optical images）解译，经人工筛选与分类。数据集内的细分类别依据车辆尺寸与军事功能划分为五类：小型军用车辆（Small Military Vehicles, SMV）、大型军用车辆（Large Military Vehicles, LMV）、装甲战斗车辆（Armored Fighting Vehicles, AFV）、军用工程车辆（Military Construction Vehicles, MCV）以及民用车辆（Civilian Vehicles, CV）。样本的地理环境涵盖城市、平原、山地与沙漠区域。

AI搜集汇总

背景与挑战

背景概述

MVRSD_dataset是一个基于Google Earth数据的遥感图像数据集，包含3,000张高分辨率（0.3米）图像，覆盖亚洲、北美和欧洲的40多个军事场景，标注了32,626个军事车辆目标，由专家手动分类为五类车辆类型。该数据集适用于军事车辆检测和识别研究，样本地理环境多样，包括城市、平原、山脉和沙漠，支持多场景分析。