Ground moving target‐detection and focusing imaging under strong noise background
نویسندگان
چکیده
منابع مشابه
Robust moving object detection under complex background
We present a novel method to robustly and efficiently detect moving object, even under the complexity background, such as illumination changes, long shadows etc. This work is distinguished by three key contributions. The first is the integration of the Local Binary Pattern texture measure which extends the moving object detection work for light illumination changing. The second is the introduct...
متن کاملA Novel Method for Multi-Fault Feature Extraction of a Gearbox under Strong Background Noise
Strong background noise and complicated interfering signatures when implementing vibration-based monitoring make it difficult to extract the weak diagnostic features due to incipient faults in a multistage gearbox. This can be more challenging when multiple faults coexist. This paper proposes an effective approach to extract multi-fault features of a wind turbine gearbox based on an integration...
متن کاملObject Detection & Tracking in Moving Background Under Different Environmental Conditions
Object detection and tracking has been a widely studied research problem in recent years. Currently system architectures are service oriented i.e. they offer number of services. All such common services are grouped together and are available as a domain called as service domain. One such service domain of our interest is LBS (location based service). The service of our interest is tracking. Tra...
متن کاملPassive Synthetic Aperture Radar Imaging of Ground Moving Targets
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xii
متن کاملFocusing Operators and Tracking Moving Wideband Sources
In this paper, the localization of wideband source with an algorithm to track a moving source is investigated. To locate the wideband source, the estimation of two directions of arrival (DOA) of this source from two different arrays of sensors is used, and then, a recursive algorithm is applied to predict the moving source’s position. The DOA is estimated by coherent subspace methods, which use...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of Engineering
سال: 2019
ISSN: 2051-3305,2051-3305
DOI: 10.1049/joe.2019.0316