Results 61 to 70 of about 265,073 (292)
Multiscale Feature-Based Infrared Ship Detection
In this paper, based on the idea of “step-by-step accuracy”, a novel multiscale feature-based infrared ship-detection method (MSFISD) is proposed. The proposed method can achieve efficient and effective infrared ship detection in complex scenarios, which may provide assistance in applications such as night surveillance.
Dongming Lu +6 more
openaire +2 more sources
The Y supersaturation in the [Ba‐Cu(I/II)‐O] transient liquid composition is the driving force toward YBCO nucleation and growth in TLAG. Tuning the initial (Ba:Cu) molar ratio in the ink composition determines the YBCO epitaxial nucleation through supersaturation control.
Lavinia Saltarelli +12 more
wiley +1 more source
Der Beitrag beschreibt die Entwicklung des GMES "Near Real Time" Ship-Detection Service am DLR Standort Neustrelitz, sowie die Einbindung in das Projekt European Maritime Security Service MARISS.
Schwarz, Egbert +3 more
openaire +3 more sources
An active learning framework, grounded in independently generated in‐house experimental data, enables reliable discovery of high‐performance interfacial materials for perovskite solar cells. Iterative model refinement autonomously converges toward structurally robust quaternary ammonium architectures, establishing a new design principle for interfacial
Jongbeom Kim +8 more
wiley +1 more source
AMBIGUITY DETECTION IN REPEAT-PASS SHIP DETECTION MODE RCM IMAGERY
<p>False alarms (FAs) pose a major challenge for operational ship detection in spaceborne Synthetic Aperture Radar (SAR) imagery. This paper presents a novel algorithm for identification and tracking of FAs in repeat-pass Radar Constellation Mission (RCM) imagery.
Christoph H. Gierull, Khalid El-Darymli
openaire +1 more source
This review traces the evolution of lithium‐ion battery separators from passive barriers to multifunctional components central to cell safety and performance. Polymer‐ceramic hybrids, nanofiber architectures, and bio‐derived membranes deliver ionic conductivities above 3 mS cm−1, thermal stability beyond 200 °C, and effective suppression of lithium ...
Karthik Vishweswariah +5 more
wiley +1 more source
Application of Artificial Neural Networks to Ship Detection from X-Band Kompsat-5 Imagery
For ship detection, X-band synthetic aperture radar (SAR) imagery provides very useful data, in that ship targets look much brighter than surrounding sea clutter due to the corner-reflection effect. However, there are many phenomena which bring out false
Jeong-In Hwang +3 more
doaj +1 more source
In this research, a simple and scalable strategy for protection of a few‐layer black phosphorus (FLBP) with a cellulose nitrate‐based material is presented. The FLBP is structurally and morphologically characterized. The FLBP stability with and without nitrocellulose protection is monitored by interferometric method, surface profile examination, and ...
Paweł Jakóbczyk +8 more
wiley +1 more source
Deep learning-based ship-detection methods have recently achieved impressive results in the synthetic aperture radar (SAR) community. However, numerous challenging issues affecting ship detection, such as multi-scale characteristics of the ship, clutter ...
Yun Zhou +5 more
doaj +1 more source

