Results 11 to 20 of about 379,016 (254)

Intercomparison of Real and Simulated GEDI Observations across Sclerophyll Forests

Remote Sensing, 2022
Forest structure is an important variable in ecology, fire behaviour, and carbon management. New spaceborne lidar sensors, such as the Global Ecosystem Dynamics Investigation (GEDI), enable forest structure to be mapped at a global scale.
Sven Huettermann, Simon Jones, Mariela Soto-Berelov, Samuel Hislop   +3 more
doaj   +1 more source

Wide-Angle Beam-Steering Using an Optical Phased Array with Non-Uniform-Width Waveguide Radiators

Photonics, 2020
We demonstrate wide-angle beam-steering using an optical phased array (OPA) with waveguide radiators designed with non-uniform widths to reduce the crosstalk between waveguides.
Youngin Kim, Hyeonho Yoon, Jong-Bum You, Minchul Kim, Hyo-Hoon Park   +4 more
doaj   +1 more source

Decomposing the Interactions between Fire Severity and Canopy Fuel Structure Using Multi-Temporal, Active, and Passive Remote Sensing Approaches

Fire, 2020
Within the realms of both wildland and prescribed fire, an understanding of how fire severity and forest structure interact is critical for improving fuels treatment effectiveness, quantifying the ramifications of wildfires, and improving fire behavior ...
Nicholas S. Skowronski, Michael R. Gallagher, Timothy A. Warner   +2 more
doaj   +1 more source

PointBoost: LiDAR-Enhanced Semantic Segmentation of Remote Sensing Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Semantic segmentation of imagery is typically reliant on texture information from raster images, which limits its accuracy due to the inherently 2-D nature of the plane.
Yongjun Zhang, Yameng Wang, Yi Wan, Wenming Zhou, Bin Zhang   +4 more
doaj   +1 more source

Joint Classification of Hyperspectral and LiDAR Data Based on Position-Channel Cooperative Attention Network

Remote Sensing, 2022
Remote sensing image classification is a prominent topic in earth observation research, but there is a performance bottleneck when classifying single-source objects.
Lin Zhou, Jie Geng, Wen Jiang
doaj   +1 more source

Point‐LIO: Robust High‐Bandwidth Light Detection and Ranging Inertial Odometry

Advanced Intelligent Systems, 2023
Herein, point light detection and ranging inertial odometry (LIO) is presented: a robust and high‐bandwidth light detection and ranging (LiDAR) inertial odometry with the capability to estimate extremely aggressive robotic motions.
Dongjiao He, Wei Xu, Nan Chen, Fanze Kong, Chongjian Yuan, Fu Zhang   +5 more
doaj   +1 more source

Methods and Applications of 3D Ground Crop Analysis Using LiDAR Technology: A Survey

Sensors, 2023
Light Detection and Ranging (LiDAR) technology is positioning itself as one of the most effective non-destructive methods to collect accurate information on ground crop fields, as the analysis of the three-dimensional models that can be generated with it
Matias J. Micheletto, Carlos I. Chesñevar, Rodrigo Santos   +2 more
doaj   +1 more source

Efficient Line Beam Scanning Based on a Hybrid Optical Phased Array Rendering Flexible Field-of-Views

IEEE Photonics Journal, 2023
Conventional OPAs incorporating a diffraction grating were mainly developed to achieve a two-dimensional spot beam-based scan, which inevitably requires a wide range of wavelength tuning, leading to unaffordable complexity and limited scanning speed.
Chenxi Wang, Eun-Su Lee, Jinung Jin, Bishal Bhandari, Ji-Yeong Gwon, Menglong Luo, Jin-Moo Heo, Seong-Hyeon Ju, Sung-Yong Ko, Jung-O Son, Min-Cheol Oh, Sang-Shin Lee   +11 more
doaj   +1 more source

Multi-information PointNet++ fusion method for DEM construction from airborne LiDAR data

Geocarto International, 2023
Airborne light detection and ranging (LiDAR) is a popular technology in remote sensing that can significantly improve the efficiency of digital elevation model (DEM) construction.
Hong Hu, Guanghe Zhang, Jianfeng Ao, Chunlin Wang, Ruihong Kang, Yanlan Wu   +5 more
doaj   +1 more source

Point-Rich: Enriching Sparse Light Detection and Ranging Point Clouds for Accurate Three-Dimensional Object Detection

Mathematics, 2023
LiDAR point clouds often suffer from sparsity and uneven distributions in outdoor scenes, leading to the poor performance of cutting-edge 3D object detectors. In this paper, we propose Point-Rich, which is designed to improve the performance of 3D object
Yanchao Zhang, Yinuo Zheng, Dingkun Zhu, Qiaoyun Wu, Hansheng Zeng , Lipeng Gu, Xiangping Bryce Zhai   +6 more
doaj   +1 more source