Experimental remote sensing data from the 8 to 12 mu m wavelength NASA Thermal Infrared Multispectral Scanner (TIMS) have been a valuable resource for multispectral algorithm proof-of-concept, a prime example being a ...
详细信息
ISBN:
(纸本)9780819487476
Experimental remote sensing data from the 8 to 12 mu m wavelength NASA Thermal Infrared Multispectral Scanner (TIMS) have been a valuable resource for multispectral algorithm proof-of-concept, a prime example being a Constant False Alarm Rate (CFAR) spectral small target detector founded on maximum likelihood theory;CFAR tests on low signal-to-clutter ratio rural Australian TIMS imagery yielded a detection rate of 5 out of 7 (71%) for small extended targets, e. g. buildings similar to 10 meters in extent, at a 10(-6) false alarm rate. Separately, techniques such as Independent Component Analysis (ICA) have since shown good promise for small target detection as well as terrain feature extraction. In this study, we first provide higher-confidence CFAR performance estimates by incorporating a larger set of imagery including ASTER satellite multi-band imagery and ground truth. Secondly, alongside CFAR we perform ICA, which effectively separates many non-natural features from the highly cluttered natural terrain background;in particular, our TIMS results show that a surprisingly small subset of ICA components contain the majority of non-natural "signal" such as paved roads amid the clutter of soil, rock, and vegetation.
We introduce a novel method for automatic detection of Atrial Fibrillation (AF) using time-varying coherence functions (TVCF) and Shannon Entropy (SE). The TVCF is estimated by the multiplication of two time-varying t...
详细信息
ISBN:
(纸本)9781424441228
We introduce a novel method for automatic detection of Atrial Fibrillation (AF) using time-varying coherence functions (TVCF) and Shannon Entropy (SE). The TVCF is estimated by the multiplication of two time-varying transfer functions (TVTFs). Two TVTFs are obtained using two adjacent data segments with one data segment as the input signal and the other data segment as the output to produce the first TVTF;the second TVTF is produced by reversing the input and output signals. The detection algorithm was tested on RR interval time series derived from two databases: the MIT-BIH Atrial Fibrillation (AF) and the MIT-BIH normal sinus rhythm (NSR). The MIT-BIH database contains a variety of short and long AF beats from 25 subjects and the MIT-BIH NSR database consists of only normal sinus rhythms from 18 subjects. Using the receiver operating characteristic curves from the combination of TVCF and SE, we obtained the accuracy of 97.49%, sensitivity of 97.41% and specificity of 97.54% for the MIT-BIH AF database. Furthermore, the specificity of the MIT-BIH NSR database was 100%.
The use of multiple cooperative sensors for the detection of person borne IEDs is investigated. The purpose of the effort is to evaluate the performance benefits of adding multiple sensor data streams into an aided th...
详细信息
ISBN:
(纸本)9780819485939
The use of multiple cooperative sensors for the detection of person borne IEDs is investigated. The purpose of the effort is to evaluate the performance benefits of adding multiple sensor data streams into an aided threat detection algorithm, and a quantitative analysis of which sensor data combinations improve overall detection performance. Testing includes both mannequins and human subjects with simulated suicide bomb devices of various configurations, materials, sizes and metal content. Aided threat recognition algorithms are being developed to test detection performance of individual sensors against combined fused sensors inputs. Sensors investigated include active and passive millimeter wave imaging systems, passive infrared, 3-D profiling sensors and acoustic imaging. The paper describes the experimental set-up and outlines the methodology behind a decision fusion algorithm-based on the concept of a "body model".
In our previous work [1, 2] we studied detection of anomalies in packet arrival times for computer networks, most detection of denial-of-service (DoS) attacks in Internet traffic. In this paper we reformulate the dete...
详细信息
ISBN:
(纸本)9781457705397
In our previous work [1, 2] we studied detection of anomalies in packet arrival times for computer networks, most detection of denial-of-service (DoS) attacks in Internet traffic. In this paper we reformulate the detection method proposed in [1] using renewal theory, providing several useful extensions. This reformulation also leads to a method that would be applicable to numerous real life signals that exist as discrete events, e. g., biological signals. Most importantly renewal theory allows us to characterize the performance of our detector and determine theoretical bounds on the time-to-detection. Compared to alternative methods that use frequency spectra or event arrival rates for detection our method is shown to be superior in terms of time-to-detection. Further, unlike rate based techniques, our method can estimate the multiple periods when multiple periodic anomalies occur simultaneously.
This paper proposes a new control device based on tongue motions to control and communicate with a support system for a paralyzed patient. We focus on the tongue movements as one of output of human intentions, because...
详细信息
ISBN:
(纸本)9781424498628
This paper proposes a new control device based on tongue motions to control and communicate with a support system for a paralyzed patient. We focus on the tongue movements as one of output of human intentions, because the tongue has one of capable parts for the motions and it does not affected by spinal cord damage. The tongue motion is easily observed from his/her mouse inside, it is, however, hard to observe them from outside. We therefore propose a detection algorithm of the tongue motions by using multiple array electrodes attached on a skin surface around a neck. The tongue motions are detected based on the center position of distributions of muscle elctric potentials that are measured by the electrodes. We investigated the precisions of the detection algorithm through some experiments and then confirmed that almost accucracy of discrimination is more than 70 as for six tongue movements such as left, right, forward, back, up, and down. Additionally, we evaluated operability of the proposed algorithm quantitatively using Fitts' law based test bed GUI, and the performance of the proposed interface was compared with that of other available interfaces.
In our previous work [1,2] we studied detection of anomalies in packet arrival times for computer networks, most detection of denial-of-service (DoS) attacks in Internet traffic. In this paper we reformulate the detec...
详细信息
ISBN:
(纸本)9781457705380
In our previous work [1,2] we studied detection of anomalies in packet arrival times for computer networks, most detection of denial-of-service (DoS) attacks in Internet traffic. In this paper we reformulate the detection method proposed in [1] using renewal theory, providing several useful extensions. This reformulation also leads to a method that would be applicable to numerous real life signals that exist as discrete events, e.g., biological signals. Most importantly renewal theory allows us to characterize the performance of our detector and determine theoretical bounds on the time-to-detection. Compared to alternative methods that use frequency spectra or event arrival rates for detection our method is shown to be superior in terms of time-to-detection. Further, unlike rate based techniques, our method can estimate the multiple periods when multiple periodic anomalies occur simultaneously.
Many incidents and crashes can be attributed to driver distraction, and it is essential to learn how to detect distraction in order to develop efficient countermeasures. A number of distraction detection algorithms ha...
详细信息
ISBN:
(纸本)9781605589268
Many incidents and crashes can be attributed to driver distraction, and it is essential to learn how to detect distraction in order to develop efficient countermeasures. A number of distraction detection algorithms have been developed over the years, and the objective of this paper is to summarize available approaches and to describe these algorithms in a unified framework. The review is limited to real-time algorithms that are intended to detect visual distraction.
The detection of micro-motion of human body such as respiration is an effective way to detect the life trapped in *** parameters and human states have a significantly influence on ultra-wide band (UWB) radar life *** ...
详细信息
ISBN:
(纸本)9781457713675
The detection of micro-motion of human body such as respiration is an effective way to detect the life trapped in *** parameters and human states have a significantly influence on ultra-wide band (UWB) radar life *** this paper,a series of detection scenes are set for life *** received signals are processed to analyze the influence of the external factors on life detection.
A detection algorithm of dust and smoke for application to satellite multi-channel imagers is introduced in this paper. The algorithm is simple and solely based on spectral and spatial threshold tests along with some ...
详细信息
A detection algorithm of dust and smoke for application to satellite multi-channel imagers is introduced in this paper. The algorithm is simple and solely based on spectral and spatial threshold tests along with some uniformity texture. Detailed examinations of the threshold tests are performed along with explanations of the physical basis. The detection is performed efficiently at the pixel level and output is in the form of an index (or flag): 0 (no dust/smoke) and 1 (dust/smoke). The detection algorithm is implemented sequentially and designed to run on segments of data instead of pixel by pixel for efficient processing. MODIS observations are used to test the operation and performance of the algorithm. The algorithm can capture heavy dust and smoke plumes very well over both land and ocean and therefore is used as a global detection algorithm. The method can be applied to any multi-channel imagers with channels at (or close to) 0.47, 0.64, 0.86, 1.38, 2.26, 3.9, 11.0, 12.0 mu m (such as current EOS/MODIS and future JPSS/VIIRS and GOES-R/ABI) for the detection of dust and smoke. It can be used to operationally monitor the outbreak and dispersion of dust storms and smoke plumes that are potentially hazardous to our environment and impact climate.
暂无评论