ABSTRACT Precise classification of Light Detection and Ranging (LiDAR) point cloud is a
fundamental process in various applications, such as land cover mapping, forestry …

Fast diagnostics from hyperspectral data and machine learning (ML) models to predict
nitrogen (N) and pigment content in maize crops is challenging to optimize nitrogen …

Multispectral LiDAR enables joint observations of the 3D geometry and material properties
of natural targets by combining ToF-based distance measurements with remote …

Multispectral lidar has become a promising technology with the rise in capability of 3-D
spectral imaging. However, the precise acquisition of spectral information is interfered by …

Lidar can effectively obtain three-dimensional information on ground objects. In recent
years, lidar has developed rapidly from single-wavelength to multispectral hyperspectral …

摘要地物精细化分类一直是遥感领域的研究热点之一, 也是生物量计算, 全球碳循环,
能量流动等研究的重要前提. 为实现复杂场景下的地物高精度识别分类, 本文基于高光谱激光 …

The acquisition and application of high-resolution ground object elevation information and
spectral information is a frontier scientific problem in the development of earth observation …

To meet the urgent need for surveying and mapping using remote sensing instruments, a
hyperspectral imaging lidar using a supercontinuum laser is proposed. This novel lidar …

The current full-waveform data at a single wavelength can mainly retrieve the geometric
attributes of targets along the light path by detecting waveform components, resulting in the …

With continuous technological development, the future development trend of LiDAR in the
field of remote sensing and mapping is to obtain the elevation and spectral information of …