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Centimetre radar reflectance signal for material classification

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DataONE2025-03-10 更新2025-04-26 收录
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Detecting and classifying materials is crucial for many real-world applications such as industrial robots, and precision agriculture. In recent years, radar sensor-based material classification become more and more popular. In this work, we employ a portable centimeter-wave radar sensor to collect the reflectance signal from nine different kinds of materials., There are 956 observations in the dataset, categorized into 10 classes: 1) Air, 2) Beans, 3) Dirt, 4) Flour, 5) Lentils, 6) Oats, 7) Rice, 8) River Rocks, 9) Sand, and 10) Sugar. For one observation, it contains 8119 data points. , , # Centimetre radar reflectance signal for material classification ## Description of the data and file structure Nine classes of materials were considered in this experiment. The signal from the empty container was considered as 'Air'. In total, ten classes of materials were used, which are 1) Air, 2) Beans, 3) Dirt, 4) Flour, 5) Lentils, 6) Oats, 7) Rice, 8) River Rocks, 9) Sand, and 10) Sugar. Each test material is placed in 3 containers, and the following procedure is used to collect data: 1. Place the cup under the sensor. Make sure the cups are always placed in the same spot. This was done by placing the stand and cup on a sheet of paper. Trace the position of the stand legs and the cup which is centered under the stand 2. Take 40 rounds of data collection for the first cup, as one round results in three scans 3. After each round, shake the cup to change the material surface. 4. Repeat the same steps from 1-3 for the second test cup. 5. Sample the third cup for 20 rounds with ea...,

材料检测与分类在工业机器人、精准农业等诸多现实应用场景中具有重要价值。近年来,基于雷达传感器的材料分类技术愈发受到关注。本研究采用便携式厘米波雷达传感器(centimeter-wave radar sensor)采集九种不同材料的反射信号。本数据集共包含956条观测数据,划分为10个类别:1)空气(Air)、2)豆类(Beans)、3)泥土(Dirt)、4)面粉(Flour)、5)小扁豆(Lentils)、6)燕麦(Oats)、7)大米(Rice)、8)河石(River Rocks)、9)沙子(Sand)、10)蔗糖(Sugar)。单条观测数据包含8119个数据点。 # 用于材料分类的厘米波雷达反射信号数据集 ## 数据与文件结构说明 本实验共考虑九类材料,将空容器的信号设为「空气」类别,最终共形成10个材料类别,具体为:1)空气(Air)、2)豆类(Beans)、3)泥土(Dirt)、4)面粉(Flour)、5)小扁豆(Lentils)、6)燕麦(Oats)、7)大米(Rice)、8)河石(River Rocks)、9)沙子(Sand)、10)蔗糖(Sugar)。 每种待测材料均放置于3个容器中,数据采集流程如下: 1. 将容器置于传感器下方,确保所有容器始终处于同一位置:将支架与容器放置在一张纸上,标记支架支脚与位于支架正下方中心位置的容器的位置。 2. 对第一个容器开展40轮数据采集,每一轮可获得3次扫描结果。 3. 每完成一轮采集后,摇晃容器以改变材料表面状态。 4. 对第二个待测容器重复步骤1至3的操作。 5. 对第三个容器进行20轮采样,每轮……
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2025-03-13
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