Results 171 to 180 of about 6,781,125 (373)
Finding gravity wave source positions using the Super Dual Auroral Radar Network [PDF]
G. Emlen Hall+4 more
openalex +1 more source
ABSTRACT The burial mounds of the early Iron Age, which we will refer to below as kurgans, from the nomadic equestrian warriors of Eurasia, form a very complex group of archaeological monuments. Archaeological excavations in Aržan 2 (Siberia) and Aleksandropol (Ukraine) show that the large burial mounds are complex architectural constructions.
Jörg W. E. Fassbinder, Anton Gass
wiley +1 more source
ABSTRACT The detection of mineral deposits and their related geological structures is of great importance to the mining industry as structures (such as dykes and faults) can affect the safety, cost and efficiency of mining. With the goal of testing cost‐effective seismic methods for mineral exploration and mining, active and passive seismic experiments
Moyagabo K. Rapetsoa+8 more
wiley +1 more source
Depth Estimation fusing Image and Radar Measurements with Uncertain Directions [PDF]
This paper proposes a depth estimation method using radar-image fusion by addressing the uncertain vertical directions of sparse radar measurements. In prior radar-image fusion work, image features are merged with the uncertain sparse depths measured by radar through convolutional layers.
arxiv
The economics of data acquisition computers for ST and MST radars [PDF]
Some low cost options for data acquisition computers for ST (stratosphere, troposphere) and MST (mesosphere, stratosphere, troposphere) are presented.
Watkins, B. J.
core +1 more source
ENHANCED ARTIFICIAL NEURAL NETWORK ALGORITHMS FOR FAST RADAR THREATS IDENTIFICATION [PDF]
Elsayed Elsayed Azzouz+2 more
openalex +1 more source
RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation [PDF]
Object detection in radar imagery with neural networks shows great potential for improving autonomous driving. However, obtaining annotated datasets from real radar images, crucial for training these networks, is challenging, especially in scenarios with long-range detection and adverse weather and lighting conditions where radar performance excels. To
arxiv
A Hybrid Neural Network Framework and Application to Radar Automatic Target Recognition
Deep neural networks (DNNs) have found applications in diverse signal processing (SP) problems. Most efforts either directly adopt the DNN as a black-box approach to perform certain SP tasks without taking into account of any known properties of the ...
Chen, Xiang, Tian, Zhi, Zhang, Zhe
core +1 more source
GEOS-3 C-Band radar investigations [PDF]
The absolute accuracy of instrumentation radar systems, refined methods of calibrating these systems, and the techniques employed in processing the associated data.
Dempsey, D. J.
core +1 more source
Identification of the low‐altitude cusp by Super Dual Auroral Radar Network radars: A physical explanation for the empirically derived signature [PDF]
R. André, M. Pinnock, A. S. Rodger
openalex +1 more source