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Ziwei Tian, Jie Huang, Yang Yang and Weiying Nie
Aerial remote sensing image object detection, based on deep learning, is of great significance in geological resource exploration, urban traffic management, and military strategic information. To improve intractable problems in aerial remote sensing imag...
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Yuxin Zhao, Changzhe Wu, Peng Wu, Kexin Zhu and Xiong Deng
Microwave radiometers are passive remote sensing devices that are widely used in marine atmospheric observations. The accuracy of its inversion of temperature and humidity profiles is an important indicator of its performance. Back Propagation (BP) neura...
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Oliver Ohneiser, Hartmut Helmke, Shruthi Shetty, Matthias Kleinert, Heiko Ehr, Sebastian Schier-Morgenthal, Saeed Sarfjoo, Petr Motlicek, ?arunas Murauskas, Tomas Pagirys, Haris Usanovic, Mirta Me?trovic and Aneta Cerná
Assistant Based Speech Recognition (ABSR) systems for air traffic control radiotelephony communication have shown their potential to reduce air traffic controllers? (ATCos) workload. Related research activities mainly focused on utterances for approach a...
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Nicola Ghirardi, Mariano Bresciani, Gary Free, Monica Pinardi, Rossano Bolpagni and Claudia Giardino
The improvement of effective remote sensing-based approaches to map macrophyte features can provide a baseline of adequate spatiotemporal resolution for 21st century monitoring applications equipped to play a prominent role in the context of medium?large...
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Priti Girohi and Ashutosh Bhardwaj
Interferometry Synthetic Aperture Radar (InSAR) is an advanced remote sensing technique for studying the earth?s surface topography and deformations; it is used to generate high-quality Digital Elevation Models (DEMs). DEMs are a crucial and primary inpu...
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