Results 31 to 40 of about 9,224 (155)

Editorial: Applications of Light Detection and Ranging (LiDAR) in Geosciences [PDF]

open access: yesJournal of Geology & Geosciences, 2012
This article contains an editorial on applications of Light Detection and Ranging (LiDAR) in Geosciences.
openaire   +2 more sources

An Extrinsic Calibration Method for LiDAR and Camera Based on Feature Matching

open access: yesKongzhi Yu Xinxi Jishu
The onboard sensor information of intelligent driving systems primarily fuses LiDAR and camera data. Accurate and stable extrinsic parameter calibrations offer the basis of effective multi-source information fusion.
CHEN Meilin   +6 more
doaj   +3 more sources

Joint Classification of Hyperspectral and LiDAR Data Based on Dynamic Sparse-Dense Transformer and Mamba

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) provides rich spatial-spectral information, while light detection and ranging (LiDAR) data offers complementary elevation details.
Zhe Meng, Zixin Yang, Feng Zhao
doaj   +1 more source

Deterministic Light Detection and Ranging (LiDAR)-Based Obstacle Detection in Railways Using Data Fusion

open access: yesApplied Sciences
Rail travel is one of the safest means of transportation, with increasing usage in recent years. One of the major safety concerns in the railway relates to intrusions.
Susana Dias   +6 more
doaj   +1 more source

Airborne light detection and ranging (LiDAR) point density analysis [PDF]

open access: yesScientific Research and Essays, 2012
The point density is a preeminent parameter on airborne laser scanner surveys. It is not only related to accuracy but costs and savings. The lack of uniformity of the point density across the survey is well-known in the scientific community. This paper analyzes the behaviour of the point density derived by an oscillating mirror laser scanner on ...
Balsa-Barreiro, Jose   +2 more
openaire   +2 more sources

Roof Segmentation From Airborne LiDAR Using Octree-Based Hybrid Region Growing and Boundary Neighborhood Verification Voting

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Building roof segmentation is a key step in the process of 3-D building reconstruction using airborne light detection and ranging point cloud data. Voxel-based region growing is one of the most widely used methods to segment planes because of its high ...
Ke Liu   +5 more
doaj   +1 more source

Editorial on “Application of LiDAR Remote Sensing and Mapping”

open access: yesSensors
Light Detection and Ranging (LiDAR) has become one of the most important technologies in modern remote sensing and mapping [...]
Xiaoxiao Zhu, Sheng Nie, Cheng Wang
doaj   +1 more source

Classification of LiDAR Data Combined Octave Convolution With Capsule Network

open access: yesIEEE Access, 2020
Light Detection and Ranging (LiDAR) data are widely used for high-resolution land cover mapping, which can provide very valuable information about the height of the surveyed area for the discrimination of classes.
Haibin Wu   +3 more
doaj   +1 more source

Multilevel Fusion Network Based on Mix Hybrid Attention for Hyperspectral and LiDAR Image Classification

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the rapid development of remote sensing (RS) technology, the fusion of hyperspectral image (HSI) and light detection and ranging (LiDAR) data has shown great potential for improving land-cover classification accuracy. However, effectively leveraging
Ziping He   +4 more
doaj   +1 more source

Inverse Coefficient of Variation Feature and Multilevel Fusion Technique for Hyperspectral and LiDAR Data Classification

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Multisource remote sensing data contain complementary information on land covers, but fusing them is a challenging problem due to the heterogeneous nature of the data.
Farah Jahan   +3 more
doaj   +1 more source

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