Munsell soil color chart: A hyperspectral dataset

This dataset contains hyperspectral images obtained using SPECIM IQ for the Munsell soil color chart (MSC). The hyperspectral images are stored in ENVI format. For those who are only interested in the endmember spectra for the MSC, we also provided the spectral library .sli and .hdr inside the <strong>endmembers </strong>folder. The acquisition details for each image can be found in the .hdr file and metadata folder inside the <strong>whole</strong> folder. For the whole image, the acquisition details are: Table 1. Acquisition details samples 512 lines 512 bands 204 default bands 70, 53,19 binning 1,1 tint (integration time) 10 (ms) fps 100 wavelength range 397.32 - 1003.58 nm The dataset is organized into several folders, each containing different types of datasets. <strong>whole</strong> folder contains the entire scene hyperspectral image. This folder contains <strong>capture</strong>, <strong>metadata, </strong>and<strong> results </strong>subfolder. .png inside the folder is natural color plotting (RGB from default bands in Table. 1) from captured hyperspectral image. <strong>capture </strong>folder contains dark reference, white reference and radiance data <strong>metadata </strong>folder<strong> </strong>contains the metadata of the acquisition and device settings. <strong>results </strong>contains the reflectance calculated by the device (in .dat, .hdr and rendered natural plotting in .png ) from the hyperspectral camera and .png images of the scene, background, and viewfinder from the device's RGB camera. <strong>chips</strong> folder contains only the cropped 20*20 voxels for each color chip reflectances. Each page has its own folder and each folder contains .hdr and .img for each color chip. <strong>endmembers</strong> folder contains the spectral library (.sli and .hdr). Each page in MSC have their own .sli and .hdr. Some of the code snippets that might help to read the dataset using python spectral library to load the dataset <pre><code class="language-python">from spectral import * import matplotlib.pyplot as plt # load the hyperspectral image .hdr and store it to a variable hsi = open_image(PATH) # get the natural RGB plotting of the hyperspectral image using the SPECIM main band hsi_rgb = hsi[:,:,[70,53,19]] # read the spectral library .sli and store it to a variable sli = open_image(PATH) # plot the first endmember plt.plot(sli.spectra[0]) # get the endmembers name sli.names</code></pre> if you have any question kindly reach me on [e-mail]本数据集包含使用SPECIM IQ光谱相机采集的孟塞尔土壤色卡（Munsell Soil Color Chart, MSC）高光谱图像。高光谱图像以ENVI格式存储。若仅需孟塞尔土壤色卡的端元光谱，我们还在<strong>端元（endmembers）</strong>文件夹中提供了.sli和.hdr格式的光谱库。 单幅图像的采集详情可在<strong>全场景（whole）</strong>文件夹内的.hdr文件与元数据文件夹中查看。全场景图像的采集参数如下： 表1 采集参数：采样点数512、行数512、波段数204；默认波段为70、53、19；分箱参数为1,1；积分时间（tint）为10 ms；帧率（fps）为100；波长范围为397.32~1003.58 nm。 本数据集按多个文件夹分类存储不同类型的数据： 1. <strong>全场景（whole）</strong>文件夹：包含完整场景的高光谱图像。该文件夹下设<strong>采集（capture）</strong>、<strong>元数据（metadata）</strong>与<strong>结果（results）</strong>子文件夹。文件夹内的.png文件为基于表1中默认波段生成的自然色彩合成RGB图像，源自采集的高光谱图像。 - <strong>采集（capture）</strong>文件夹：包含暗参考、白参考与辐射亮度数据。 - <strong>元数据（metadata）</strong>文件夹：包含采集过程与设备设置的元数据。 - <strong>结果（results）</strong>文件夹：包含由高光谱相机计算得到的反射率数据（存储为.dat与.hdr格式）、渲染后的自然色彩合成.png图像，以及设备RGB相机采集的场景、背景与取景器.png图像。 2. <strong>色块（chips）</strong>文件夹：仅包含每个色块裁剪得到的20×20体素反射率数据。每个色块对应一个独立子文件夹，子文件夹内包含该色块的.hdr与.img文件。 3. <strong>端元（endmembers）</strong>文件夹：包含光谱库文件（.sli与.hdr），孟塞尔土壤色卡的每个页面均对应专属的.sli与.hdr文件。 以下为使用Python光谱库读取本数据集的参考代码片段： python from spectral import * import matplotlib.pyplot as plt # 加载高光谱图像.hdr文件并存储至变量 hsi = open_image(PATH) # 基于SPECIM默认波段生成高光谱图像的自然RGB合成图 hsi_rgb = hsi[:,:,[70,53,19]] # 读取光谱库.sli文件并存储至变量 sli = open_image(PATH) # 绘制第一个端元的光谱曲线 plt.plot(sli.spectra[0]) # 获取端元名称列表 sli.names 如有任何疑问，请通过邮箱[e-mail]联系我。