Magnetic anomaly detection using entropy filter

Sheinker, Arie; Salomonski, Nizan; Ginzburg, Boris; Frumkis, Lev; Kaplan, B.Z.

doi:10.1088/0957-0233/19/4/045205

Cited by 77 publications

(51 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a part of this effort, an Applied Physics System fluxgate sensor (Model 1540) [5], and a Geometrics optically pumped Cesium sensor (Model 824-A) [6] were selected to conduct a limited number of field trials during normal operations at Manassas Regional Airport (KHEF) and Washington Dulles International Airport (KIAD). MITRE also examined the use of advanced signal processing techniques [7,8] to improve target detection.…”

Section: B Airports With Edge Light and Significant Ga Trafficmentioning

confidence: 99%

Block occupancy based surface surveillance

Nene

Chong

Stelzer

et al. 2014

2014 Tyrrhenian International Workshop on Digital Communications - Enhanced Surveillance of Aircraft and Vehicles (TIWDC/ESAV)

View full text Add to dashboard Cite

Abstract-The proposed surface surveillance concept divides airport runways and taxiways into a number of operationally suitable, discrete, and contiguous sections called blocks. The system uses magnetometers or other suitable sensors positioned at each of the block boundaries to monitor aircraft and vehicle movements into and out of these blocks. The system then indicates the block occupancy information for tower controllers on a two-dimensional (2-D) display of an airport map. This surveillance information is envisioned to improve controller situational awareness of surface operations, particularly in reduced visibility.

show abstract

Section: B Airports With Edge Light and Significant Ga Trafficmentioning

confidence: 99%

Block occupancy based surface surveillance

Nene

Chong

Stelzer

et al. 2014

2014 Tyrrhenian International Workshop on Digital Communications - Enhanced Surveillance of Aircraft and Vehicles (TIWDC/ESAV)

View full text Add to dashboard Cite

show abstract

“…Arie Sheinker etc. have successfully utilized minimum entropy filter in magnetic anomaly detection [4]. The signal they acquired is similar to that of Fig.2.…”

Section: Introductionmentioning

confidence: 97%

Yarn Anomaly Detection Using K-th Moment and Entropy Filters

Sheng

Dong

2009

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery

View full text Add to dashboard Cite

An optical yarn quality measurement system is constructed. To extract yarn defects of neps and foreign fibers with different colors, a novel structure of optoelectronic sensor is proposed. The experimental signals acquired by the system perform low signal to noise ratio therefore makes it difficult to defect discrimination. Concerning these problems, two methods, K-th moment filter and minimum entropy filter, are utilized for signal processing. The results indicate that both methods are effective for the extracting of abnormal signals corresponding to yarn defects. The K-th moment filter has the advantage of lower computational complexity and is more effective in on-line measurement system. On the other hand, the minimum entropy filter can remain more local tiny features in the processed signals by adjusting the parameters properly so that is better in anomaly detecting of the defects in different levels.

show abstract

“…Though before the technology is widely used in many cases, the range of detection is limited because of magnetic noise. In the past few years, there have been some noise reduction methods such as entropy filter [1], referenced magnetometer [2], high-order crossing method [3], orthonormal basis functions (OBF) matched filtering method [4,5], and wavelet transform method [6][7][8]. In most research environments, it is assumed that the target moves along a straight line relatively to the magnetometer.…”

Section: Introductionmentioning

confidence: 99%

Parabolic Trail Obf in Magnetic Anomaly Detection

Yang¹,

Liu²,

Fang³

2017

PIER B

View full text Add to dashboard Cite

Abstract-Magnetic anomaly detection (MAD) is to find hidden ferromagnetic objects, and a hidden object is often described as a magnetostatic dipole. Many detection methods are based on the orthonormal basis functions when the target moves along a straight line relatively to the magnetometer. A new kind of parabolic trail orthonormal basis functions (PTOBF) method is proposed to detect the magnetic target when the trajectory of the target is parabola. The simulation experiment confirms that the proposed method can detect the magnetic anomaly signals in white Gaussian noise when SNR is −15.56 dB. The proposed method is sensitive to the characteristic time and curvature. High detection probability and simple implementation of proposed method make it attractive for the real-time applications.

show abstract

Magnetic anomaly detection using entropy filter

Cited by 77 publications

References 13 publications

Block occupancy based surface surveillance

Block occupancy based surface surveillance

Yarn Anomaly Detection Using K-th Moment and Entropy Filters

Parabolic Trail Obf in Magnetic Anomaly Detection

Contact Info

Product

Resources

About