Results 51 to 60 of about 178,941 (346)

Three- and Four-Dimensional Topographic Measurement and Validation

Remote Sensing, 2021
This paper reports on the activities carried out in the context of “Dragon project 32278: Three- and Four-Dimensional Topographic Measurement and Validation”.
Fabio Rocca, Deren Li, Stefano Tebaldini, Mingsheng Liao, Lu Zhang, Fabrizio Lombardini, Timo Balz, Norbert Haala, Xiaoli Ding, Ramon Hanssen   +9 more
doaj   +1 more source

Multi‐temporal synthetic aperture radar flood mapping using change detection

, 2018
A change detection and thresholding methodology has been adapted from previous studies to determine the extent of flooding for 13 Sentinel‐1 synthetic aperture radar images captured during the floods of winter 2015–2016 in Yorkshire, UK.
M. Clement, C. Kilsby, P. Moore
semanticscholar   +1 more source

Digital Spatial Technologies to Compose the Map of the Southeast Iberia Megalithic Phenomenon. The Case Study of Fonelas (Granada, Spain)

Archaeological Prospection, EarlyView.
ABSTRACT Megalithic landscapes in Southeast Iberia remain unevenly and insufficiently documented, particularly in rugged areas where traditional survey methods are limited. This paper addresses this gap by applying a multiscalar approach to the megalithic necropolises of the Fardes River (Granada, Spain), with the objective of detecting, documenting ...
Carolina Cabrero González, Juan Antonio Cámara Serrano, José Antonio Bueno Herrera, Jesús Gámiz Caro   +3 more
wiley   +1 more source

Desertification Risk: Bibliometric Analysis and Future Research Directions

Land Degradation &Development, EarlyView.
ABSTRACT Desertification, driven by climatic and anthropogenic factors, is one of the most pressing global environmental challenges, causing significant economic, ecological, and social consequences. A bibliometric analysis was performed to identify research trends and gaps in the desertification risk topic.
Fatima‐Ezzahrae Imam, Daniela Smiraglia, Antonio Pulina, Francesca Assennato, Elisabetta Raparelli, Giovanna Seddaiu   +5 more
wiley   +1 more source

Visualisation and interpretation of PolSAR data based on polarimetric coherence

The Journal of Engineering, 2019
Polarimetric coherence strongly relates to the target scattering characteristics. Coherences of different second-order statistics show different advantages in target discrimination in specific correspondence to physical scattering mechanism.
Liting Liang, Yunhua Zhang, Yunhua Zhang, Dong Li   +3 more
doaj   +1 more source

Synthetic aperture radar target simulator [PDF]

, 1984
A simulator for simulating the radar return, or echo, from a target seen by a SAR antenna mounted on a platform moving with respect to the target is described.
Bickler, T. C., Goldstein, R. M., Held, D. N., Zebker, H. A.   +3 more
core   +1 more source

Ellipsoid‐Based Interval‐Type Uncertainty Model Updating Based on Riemannian Manifold and Gaussian Process Model

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao, Qintao Guo, Jin Zhou, Cheng Yi   +3 more
wiley   +1 more source

Few‐shot learning for satellite characterisation from synthetic inverse synthetic aperture radar images

IET Radar, Sonar & Navigation
Space situational awareness systems primarily focus on detecting and tracking space objects, providing crucial positional data. However, understanding the complex space domain requires characterising satellites, often involving estimation of bus and ...
Friso G. Heslinga, Faruk Uysal, Sabina B. vanRooij, Sven Berberich, Miguel Caro Cuenca   +4 more
doaj   +1 more source

Soft Segmented Randomization: Enhancing Domain Generalization in SAR ATR for Synthetic-to-Measured

IEEE Access
Synthetic aperture radar technology is crucial for high-resolution imaging under various conditions; however, the acquisition of real-world synthetic aperture radar data for deep learning-based automatic target recognition remains challenging due to high
Minjun Kim, Ohtae Jang, Haekang Song, Heesub Shin, Jaewoo Ok, Minyoung Back, Jaehyuk Youn, Sungho Kim   +7 more
doaj   +1 more source

Prioritized Real‐Time UAV‐Based Vessel Detection for Efficient Maritime Search

Journal of Field Robotics, EarlyView.
ABSTRACT Real‐time vessel detection in maritime environments is crucial for diverse applications requiring speed and accuracy. Static camera views often introduce blind spots, compromising detection efficiency. This paper proposes a novel, real‐time UAV‐based system that uses a dynamic camera control strategy to address this limitation.
Lyes Saad Saoud, Zikai Jia, Siyuan Yang, Muhayy Ud Din, Lakmal Seneviratne, Shaoming He, Irfan Hussain   +6 more
wiley   +1 more source