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Automatic detection of mud-wall signatures in ground-penetrating radar data
(John Wiley & Sons Inc, 2020-11)
The ground-penetrating radar (GPR) method with the standard constant-offset reflection mode allows to detect and map different types of archaeological structures, such as walls, foundations, floors and roads. The interpretation ...
Real-time image enhancement for an automatic automobile accident detection through CCTV using deep learning
Almost all of the automatic accident detection (AAD) system suffers from the tradeoff between computational overhead and detection accuracy. Recent advances in detection and classification methodologies have shown phenomenal ...
Automatic space object detection on all-sky images from a synoptic survey synthetic telescope array
(Elsevier, 2020)
Detection, classification, and characterization of Space Objects (SOs) are important tasks in many areas of research. Detection of SOs is important in predicting collisions with debris that could become hazards for satellites ...
Methodology for automatic selection of passes in surface grinding
(2007-01-01)
The main purpose of this work is the development of computational tools in order to assist the on-line automatic detection of burn in the surface grinding process. Most of the parameters currently employed in the burning ...
Methodology for automatic selection of passes in surface grinding
(2007-01-01)
The main purpose of this work is the development of computational tools in order to assist the on-line automatic detection of burn in the surface grinding process. Most of the parameters currently employed in the burning ...
Crater detection in multi-ring basins of mercury
(2015-01-01)
This paper presents the automated detection of impact craters on large regions of Mercury. The processing sequence is composed by three main phases: the first consists on creating the image mosaics of the large areas of ...
Fast and automatic microseismic phase-arrival detection and denoising by pattern recognition and reduced-rank filtering
(Society of Exploration Geophysicists, 2015-07)
We have developed a fast method that allowed us to automatically detect and denoise microseismic phase arrivals from 3C multichannel data. The method is a two-step process. First, the detection is carried out by means of ...
AUTOMATICALLY DETECTING TEXTUAL CONTENT IN HIGH-RESOLUTION IMAGES
(2021-01-01)
Classifying targets in satellite images is a nontrivial task which requires dealing with a large number of undesirable elements such as clouds, building shadows and other unexpected objects. Among these, a commonly found ...