Results 11 to 20 of about 6,934,367 (305)

Millimetre wave imaging for concealed target detection [PDF]

open access: yes, 2011
PhDConcealed weapon detection (CWD) has been a hot topic as the concern about pub- lic safety increases. A variety of approaches for the detection of concealed objects on the human body based on earth magnetic ¯eld distortion, inductive magnetic ¯eld,
Zhang, Lianhong
core   +4 more sources

Improved sparse representation using adaptive spatial support for effective target detection in hyperspectral imagery [PDF]

open access: yes, 2013
With increasing applications of hyperspectral imagery (HSI) in agriculture, mineralogy, military, and other fields, one of the fundamental tasks is accurate detection of the target of interest.
Li, Xiaohui   +3 more
core   +4 more sources

Target-Aware Data Augmentation for Stance Detection [PDF]

open access: yes, 2021
The goal of stance detection is to identify whether the author of a text is in favor of, neutral or against a specific target. Despite substantial progress on this task, one of the remaining challenges is the scarcity of annotations. Data augmentation is
Cornelia Caragea (10630172)   +1 more
core   +1 more source

Radar Moving Target Detection in Clutter Background via Adaptive Dual-Threshold Sparse Fourier Transform

open access: yesIEEE Access, 2019
In this paper, an adaptive dual-threshold sparse Fourier transform (ADT-SFT) algorithm is proposed, which enables the application of the SFT and robust SFT (RSFT) to the moving target detection in clutter background.
Xiaohan Yu   +5 more
doaj   +1 more source

Fast and Refined Processing of Radar Maneuvering Target Based on Hierarchical Detection via Sparse Fractional Representation

open access: yesIEEE Access, 2019
Reliable and fast detection of maneuvering target in complex background is important for both civilian and military applications. It is rather difficult due to the complex motion resulting in energy spread in time and frequency domain.
Xiaolong Chen   +4 more
doaj   +1 more source

Adaptive Clutter Suppression and Detection Algorithm for Radar Maneuvering Target With High-Order Motions Via Sparse Fractional Ambiguity Function

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Radar maneuvering target detection in clutter background should not only consider the complex characteristics of the target to accumulate its energy as much as possible, but also suppress clutter to improve the signal-to-clutter ratio (SCR).
Xiaolong Chen   +3 more
doaj   +1 more source

An Adaptive Infrared Small-Target-Detection Fusion Algorithm Based on Multiscale Local Gradient Contrast for Remote Sensing

open access: yesMicromachines, 2023
Space vehicles such as missiles and aircraft have relatively long tracking distances. Infrared (IR) detectors are used for small target detection. The target presents point target characteristics, which lack contour, shape, and texture information.
Juan Chen   +6 more
doaj   +1 more source

Space-Range-Doppler Focus-Based Low-observable Moving Target Detection Using Frequency Diverse Array MIMO Radar

open access: yesIEEE Access, 2018
The radar echoes of moving targets in a clutter background are extremely weak and their characteristics are complex. A low-observable moving target detection technology has become a key constraint to radar performance, requiring the radar to provide ...
Xiaolong Chen   +4 more
doaj   +1 more source

UAV Target Detection Algorithm Based on Improved YOLOv8

open access: yesIEEE Access, 2023
Since UAVs usually fly at higher altitudes, resulting in a more significant proportion of small targets after imaging, this poses a challenge to the target detection algorithm at this stage; in addition, the high-speed flight of UAVs causes a sense of ...
Feng Wang   +3 more
doaj   +1 more source

Application of Multi-Sensor Fusion Technology in Target Detection and Recognition [PDF]

open access: yes, 2022
Application of multi-sensor fusion technology has drawn a lot of industrial and academic interest in recent years. The multi-sensor fusion methods are widely used in many applications, such as autonomous systems, remote sensing, video surveillance, and ...

core   +1 more source

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