Results 111 to 120 of about 834,631 (325)

EARLINET – LIDAR ALGORITHM INTERCOMPARISON [PDF]

Journal of Aerosol Science, 2001
Postprint (published version)
Frioud, M., Böckmann, C., Wandinger, Ulla, Ansmann, Albert, Bösenberg, Jens, Amiridis, Vassilis, Boselli, A., Delaval, A., de Tomasi, Ferdinando, Wiegner, M., Shcerbakov, V., Schneider, J., Rocadenbosch Burillo, Francisco, Papayannis, Alexander, Matthias, V., Larcheveque, G., Kreipl, Stephan, Komguem, L., Iarlori, M.   +18 more
openaire   +3 more sources

Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints

Advanced Intelligent Systems, EarlyView.
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang, Lei Ma, Muhua Zhang, Kai Shen   +3 more
wiley   +1 more source

Rapid Prediction of High-Resolution 3D Ship Airwake in the Glide Path Based on CFD, BP Neural Network, and DWL

Applied Sciences
To meet the requirements of the high spatiotemporal three-dimensional (3D) airflow field within the glide path corridor during carrier-based aircraft/unmanned aerial vehicles (UAVs) landings, this paper proposes a prediction method for high ...
Qingsong Liu, Gan Ren, Dingfu Zhou, Bo Liu, Zida Li   +4 more
doaj   +1 more source

ACADEME-LOCAL GOVERNMENT PARTNERSHIP TOWARDS EFFECTIVE APPLICATION OF GEOSPATIAL TECHNOLOGIES FOR SMARTER FLOOD DISASTER MANAGEMENT AT THE LOCAL LEVEL: AN EXAMPLE FROM MINDANAO, PHILIPPINES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
In this paper, we discuss how an academe-local government partnership can lead the way for the effective use of geospatial technologies for smarter and geospatially-informed decision making before, during, and after a flood disaster.
M. Makinano-Santillan, M. Makinano-Santillan, J. R. Santillan, E. M. O. Morales, L. C. S. Asube, L. C. S. Asube, A. M. Amora, L. C. Cutamora, R. M. Makinano   +8 more
doaj   +1 more source

Training a Fast Object Detector for LiDAR Range Images Using Labeled Data from Sensors with Higher Resolution

, 2019
In this paper, we describe a strategy for training neural networks for object detection in range images obtained from one type of LiDAR sensor using labeled data from a different type of LiDAR sensor. Additionally, an efficient model for object detection
Dietmayer, Klaus, Herzog, Manuel
core   +1 more source

Automated Feature Extraction and Classification of Submerged Cultural Heritage Assets in the Puck Lagoon via Multisensor Remote Sensing

Archaeological Prospection, EarlyView.
ABSTRACT This study presents a strong framework for the detection and classification of Submerged Cultural Heritage Assets (SCHA) in shallow marine environments using the integration of multibeam echosounder and airborne LiDAR bathymetry with object‐based image analysis and fuzzy logic–based classification.
Łukasz Janowski, Andrzej Pydyn, Mateusz Popek, Anna M. Kotarba‐Morley, Paweł Tysiąc   +4 more
wiley   +1 more source

Archaeological Damage Assessment in Conflict Zones: Integrating Satellite Imagery and Ground Surveys in Daraa, Syria

Archaeological Prospection, EarlyView.
ABSTRACT Satellite remote sensing is among the most significant modern methodologies supporting field archaeology. In addition to its efficiency in identifying archaeological sites, remote sensing offers a safe and cost‐effective approach in conflict zones.
Amal Al Kassem, Kristen Hopper, Ismael M. Ibraheem, Andreas Maier, Mohammad Khair Nassrallah, Jürgen Richter   +5 more
wiley   +1 more source

MEMS Mirrors for LiDAR: A Review

Micromachines, 2020
In recent years, Light Detection and Ranging (LiDAR) has been drawing extensive attention both in academia and industry because of the increasing demand for autonomous vehicles. LiDAR is believed to be the crucial sensor for autonomous driving and flying,
Dingkang Wang, Connor Watkins, Huikai Xie   +2 more
semanticscholar   +1 more source

Prospecting of Architectural Features Using LiDAR‐UAV Technology, Deep Neural Networks and Visualization Techniques: A Case Study in Kuélap and Cambolín (NW Peru)

Archaeological Prospection, EarlyView.
ABSTRACT High‐resolution and accurate synoptic images of terrestrial topography, even in densely forested areas, have proven valuable for archaeology by enabling the identification and characterization of relief patterns associated with ancient human activities. This study presents a novel approach that integrates digital terrain models (DTMs) obtained
Jhon A. Zabaleta‐Santisteban, Rolando Salas López, Angel J. Medina‐Medina, Katerin M. Tuesta‐Trauco, Abner S. Rivera‐Fernandez, Nerci M. Noriega‐Salazar, José A. Sánchez‐Vega, Teodoro B. Silva‐Melendez, Marlen A. Grandez‐Alberca, Jhonsy O. Silva‐López, Nilton B. Rojas‐Briceño, Manuel Oliva‐Cruz, Alexander Cotrina‐Sanchez, Elgar Barboza   +13 more
wiley   +1 more source

Feature Extraction and Attribute Recognition of Aerosol Particles from In Situ Light-Scattering Measurements Based on EMD-ICA Combined LSTM Model

Atmosphere
Accurate identification and monitoring of aerosol properties is crucial for understanding their sources and impacts on human health and the environment.
Heng Zhao, Yanyan Zhang, Dengxin Hua, Jiamin Fang, Jie Zhang, Zewen Yang   +5 more
doaj   +1 more source