2018 IEEE GRSS Data Fusion Challenge – Fusion of Multispectral LiDAR and Hyperspectral Data

As part of the 2018 IEEE GRSS Data Fusion Contest, the Hyperspectral Image Analysis Laboratory and the National Center for Airborne Laser Mapping (NCALM) at the University of Houston are pleased to release a unique multi-sensor optical geospatial representing challenging urban land-cover land-use classification task. The data were acquired by NCALM over the University of Houston campus and its neighborhood on February 16, 2017 between 16:31 and 18:18 GMT. A detailed report summarizing the processing undertaken on the raw data is available here. Sensors used in this campaign include an Optech Titan MW (14SEN/CON340) with integrated camera (a multispectral LIDAR sensor operating at three different laser wavelengths), a DiMAC ULTRALIGHT+ (a very high resolution color imager), and an ITRES CASI 1500 (a hyperspectral imager). The sensors were aboard a Piper PA-31-350 Navajo Chieftan aircraft.The data we provide include:Multispectral-LiDAR point cloud data at 1550 nm, 1064 nm, and 532 nm; Intensity rasters from first return per channel and DSMs at a 50-cm GSD.Hyperspectral data covering a 380-1050 nm spectral range with 48 bands at a 1-m GSD.Very high resolution RGB imagery at a 5-cm GSD. The image is organized into several separate tiles.In addition to the optical data, ground truth representing 20 urban land-cover/land-use classes is available (provided as raster at a 0.5-m GSD, superimposable to airborne images.) Details are provided at https://machinelearning.ee.uh.edu/2018-ieee-grss-data-fusion-challenge-fusion-of-multispectral-lidar-and-hyperspectral-data/

作为2018年IEEE国际地球科学与遥感学会（IEEE GRSS）数据融合竞赛的配套项目，休斯顿大学高光谱图像分析实验室与国家机载激光测绘中心（National Center for Airborne Laser Mapping, NCALM）荣幸发布一款独具特色的多传感器光学地理空间数据集，其面向极具挑战性的城市土地覆盖与土地利用分类任务。
该数据由NCALM于2017年2月16日GMT时区16:31至18:18期间，在休斯顿大学校园及其周边区域采集完成。针对原始数据的完整处理总结报告可于指定链接获取。
本次数据采集使用的传感器包括：搭载集成相机的Optech Titan MW（14SEN/CON340）——一款可工作于三种不同激光波长的多光谱激光雷达（LiDAR）传感器；DiMAC ULTRALIGHT+——一款超高分辨率彩色成像仪；以及ITRES CASI 1500——一款高光谱成像仪。所有传感器均搭载于Piper PA-31-350 Navajo Chieftan型航空器上。
本次发布的数据集包含以下内容：
1. 工作波长分别为1550 nm、1064 nm与532 nm的多光谱激光雷达点云数据；各通道首次回波强度栅格数据，以及地面采样距离（GSD）为50厘米的数字表面模型（DSM）。
2. 光谱覆盖范围为380~1050 nm、包含48个波段、地面采样距离为1米的高光谱数据。
3. 地面采样距离为5厘米的超高分辨率RGB影像，该影像被分割为若干独立瓦片。
除光学类数据外，数据集还提供涵盖20类城市土地覆盖/土地利用类别的实地标注真值（ground truth），该标注以地面采样距离0.5米的栅格形式存储，可与机载影像实现精准叠加。更多详细信息可访问：https://machinelearning.ee.uh.edu/2018-ieee-grss-data-fusion-challenge-fusion-of-multispectral-lidar-and-hyperspectral-data/