Results 111 to 120 of about 3,557 (290)

Ship target recognition based on superstructure matching [PDF]

E3S Web of Conferences
The Automatic Target Recognition(ATR) of ship targets based on Inverse Synthetic Aperture Radar(ISAR) images plays a significant role in naval warfare.To address the issue that existing superstructure-based recognition methods do not fully use ...
Deng Jie, Su Fulin
doaj   +1 more source

Automatic Target Recognition in Laser Radar Imagery

, 1995
This paper presents an Automatic Target Recognition (ATR) system for laser radar (LADAR) imagery, designed to classify objects at multiple levels of discrimination (target detection, classification, and recognition) from single LADAR images. Segmentation
Harald Ruda, Magnús Snorrason, Alper Caglayan, Charles River Analytics   +3 more
core  

Challenges and Opportunities in Multi‐Method Integrated Geophysical Prospection of Buried Building Remains at the Sanctuary of Olympia

Archaeological Prospection, EarlyView.
ABSTRACT Ancient Olympia was one of the most important sanctuaries and the venue for the Olympic Games in Greek and Roman times. Its remains are located in the Olympia Terrace (Peloponnese, Greece) at the present‐day confluence of the rivers Alpheios and Kladeos at the base of Mount Kronos.
Sarah Bäumler, Dennis Wilken, Peter Fischer, Lena Slabon, Timo Willershäuser, Birgitta Eder, Hans‐Joachim Gehrke, Erofili‐Iris Kolia, Franziska Lang, Oliver Pilz, Andreas Vött   +10 more
wiley   +1 more source

Automatic Ground Target Classification Using Forward Scattering Radar

, 2006
Experimental study is undertaken of the feasibility of forward scattering radar (FSR) and its application to automatic ground target classification.
Abdullah, Raja, Chapursky, V, Jancovic, Peter, Salous, Mounther, Cherniakov, Mikhail   +4 more
core   +1 more source

Poseidon's Sanctuary at Samikon—The Discovery of an Ancient Temple Through an Integrated Geophysical and Geoarchaeological Survey Approach for Lagoonal and Swampy Environments

Archaeological Prospection, EarlyView.
ABSTRACT Below the classical fortress of Samikon at the coast of the western Peloponnese, ancient writer Strabo mentioned a sanctuary of Poseidon which served as the centre of the religious association of the Triphylian cities. In this paper, we describe the discovery and investigation of a building structure by means of geophysical and ...
Dennis Wilken, Birgitta Eder, Sarah Bäumler, Elena Appel, Peter Fischer, Tina Georg, Federica Iannone, Lena Slabon, Timo Willershäuser, Erofili‐Iris Kolia, Andreas Vött   +10 more
wiley   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

Archaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka, Hector A. Orengo, Felipe Lumbreras Ruiz, Iban Berganzo‐Besga, Ekta Gupta   +4 more
wiley   +1 more source

Comparison of deterministic and probabilistic model matching techniques for laser radar target recognition

, 2009
S.233 ...
Armbruster, W.
core   +1 more source

Technology Transfer to Underwater Archaeology: The LAHKE Project at the Submerged Neolithic Site of La Marmotta

Archaeological Prospection, EarlyView.
ABSTRACT This document is a report on the field application of non‐invasive geophysical and robotic prospecting methods at the submerged Neolithic site of La Marmotta (Lake Bracciano, Italy), within the LAHKE (LAke Heritage Knowledge and Exploration) project; the study focuses on the practical validation, adaptation and transfer of existing ...
dell' Erba Ramiro, Cupertino Giacomo, Cipollini Angelo, Luciano Blasi, Quattrucci Luca   +4 more
wiley   +1 more source

• NOVAK, OWIRKA, BROWER, AND WEAVER The Automatic Target-Recognition System in SAIP The Automatic Target- Recognition System in SAIP

, 2008
system that provides significantly improved target-recognition performance compared with ATR systems that use conventional synthetic-aperture radar (SAR) image-processing techniques. We achieve significant improvement in target-recognition performance by
Leslie M. Novak, Alison L. Weaver, William S. Brower, Gregory J. Owirka   +3 more
core  

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source