Results 51 to 60 of about 8,426 (244)

LUneXt: Simple and Efficient U-shaped Network Design for Medical Image Segmentation with Nonlinear Activation

Computing Open
Medical image segmentation has always been a challenging task. This paper proposes a new LUneXt medical image segmentation model based on the characteristics analysis of medical image data sets and testing of different nonlinear activation units.
Guanghong Deng, Bing Yu, Wenlong Jing, Yong Li, Xiaodan Zhao   +4 more
doaj   +1 more source

Human‐in‐the‐Loop Swarms: A Bionic Swarm Approach to Real‐World Soil Mapping

Advanced Intelligent Systems, EarlyView.
This article introduces the “Bionic Swarm,” a novel system that lowers the barriers to real‐world swarm validation by abstracting difficult hardware tasks to app‐guided human agents. We demonstrate the system's utility through the experimental validation of a geotechnical soil‐mapping swarm algorithm and show superior performance to baseline approaches
Petras Swissler, Mohammadali Rashidioun, Nicholas Sahu, Raaid Kabir, Ayodeji Aderibigbe, Oladoyin Kolawole   +5 more
wiley   +1 more source

Light-weight Fusion Network for UAV Visible-light and Infrared Images based on Real-time Brain-like Intelligent Computing [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Multiple sensors equipped on the Unmanned Aerial Vehicle (UAV) enables the acquisition of multi-modal and multi-source remote sensing data. UAV remote sensing usually faces with real-time or near-real-time tasks in complex and highly dynamic environments,
K. Hu, J. Qu, W. Zheng, H. Zhou, T. Cai, Q. Zhang, S. Wang, B. Li   +7 more
doaj   +1 more source

Editorial on the Advances, Innovations and Applications of UAV Technology for Remote Sensing

Remote Sensing, 2023
Currently, several kinds of Unmanned Aerial Vehicles (UAVs) or drones [...]
Syed Agha Hassnain Mohsan, Muhammad Asghar Khan, Yazeed Yasin Ghadi   +2 more
openaire   +2 more sources

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

Equivalent Black Carbon Aerosol Properties and Their Relationship with the Heating Season in Urban Environments

Atmosphere, 2021
Black carbon (BC) aerosols have a considerable impact on humans because they not only cause environmental pollution and reduce visibility but also harm human health.
Wei Chen, Ge Song, Haimeng Zhao, Shanlin Sun, Yi Wu   +4 more
doaj   +1 more source

A Geomorphometric Approach to Estimate the Deterioration of Earthen Archaeological Sites by Rainfall and Diffusion Processes: The Huaca Chornancap (Eighth–14th Century ad), Lambayeque, Peru

Archaeological Prospection, EarlyView.
ABSTRACT Rain‐induced erosion processes can severely damage Earthen archaeological sites. Huaca Chornancap (HCH; eighth–14th century ad) is a platform located in the Lambayeque region (Peru) exposed to seasonal rain due to El Niño Southern Oscillation (ENSO).
Luigi Magnini, Maria Ilaria Pannaccione Apa, Robert Gutiérrez Cachay, Marco Fernández Manayalle, Carlos Eduardo Wester La Torre, Guido Ventura   +5 more
wiley   +1 more source

Real-Time Detection of Ground Objects Based on Unmanned Aerial Vehicle Remote Sensing with Deep Learning: Application in Excavator Detection for Pipeline Safety

Remote Sensing, 2020
Unmanned aerial vehicle (UAV) remote sensing and deep learning provide a practical approach to object detection. However, most of the current approaches for processing UAV remote-sensing data cannot carry out object detection in real time for emergencies,
Lingxuan Meng, Zhixing Peng, Ji Zhou, Jirong Zhang, Zhenyu Lu, Andreas Baumann, Yan Du   +6 more
doaj   +1 more source

MAPPING CROP STATUS FROM AN UNMANNED AERIAL VEHICLE FOR PRECISION AGRICULTURE APPLICATIONS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
Remote sensing system mounted on unmanned aerial vehicle (UAV) could provide a complementary means to the conventional satellite and aerial remote sensing solutions especially for the applications of precision agriculture.
T. Guo, T. Kujirai, T. Watanabe
doaj   +1 more source

Incremental Road Network Update Method with Trajectory Data and UAV Remote Sensing Imagery

ISPRS International Journal of Geo-Information, 2022
GPS trajectory and remote sensing data are crucial for updating urban road networks because they contain critical spatial and temporal information.
Jianxin Qin, Wenjie Yang, Tao Wu, Bin He, Longgang Xiang   +4 more
doaj   +1 more source