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New ADCP(Acoustic Doppler current profiler) can estimate surface wave based on current measurement. Now existing background correction algorithm only considers current amplitude, TRDI ADCP commercial software WAVESMON suggest if current amplitude is greater than 0.75m/s, wave estimation should be corrected for background current. The research shows that when background exists, background current amplitude,...
New ADCP(Acoustic Doppler current profiler) can estimate surface wave based on current measurement. Now existing tilt correction algorithm only considers attitude angle pitch and roll, for example, TRDI wave processing software WAVESMON suggest if attitude angle pitch, roll is greater than 10 degrees, wave estimation should be tilt corrected. The author's previous research shows that both attitude...
With the widely application of high-resolution remote sensing images, its classification has attracted a lot of attention. Usually, some different categories share common patterns, which make these categories look similar. This makes the classification of such categories a challenging task. In this paper, we propose a novel dictionary learning based bilayer classification algorithm to solve this problem...
In this paper, we present a framework for automatically analyzing activities and interactions, and recognizing traffic states from surveillance video. Activities and interactions are firstly learned by Hierarchical Dirichlet Process (HDP) models based on low-level visual features. Based on the learning results, a Gaussian Process (GP) classifier is trained to classify the traffic states in online...
Hyperspectral image processing has been a very dynamic area in remote sensing and other applications since last decades. Hyperspectral images provide abundant spectral information to identify and distinguish spectrally similar materials. Recent advances in kernel machines promote the novel use of Gaussian processes (GP) for classifying hyper-spectral images. Many sophisticated kernel functions have...
With the widely application of high-resolution remote sensing images, its classification has attracted a lot of attention. Most classification methods focus on various combination of features and ignore the similarities between different categories. In this paper we present a modification by combining ScSPM [1] with a dictionary learning method DL-COPAR [2], which separates the particularity and commonality...
With the increase of the capacity of PV generated systems, how to eliminate the problem caused by the randomness of power output for photovoltaic system becomes more significant. Most of the existing photovoltaic prediction is Based on the solar radiation. However, it's difficult to implement in China due to insufficient solar radiation station available and poor forecasting performance. In addition,...
After extracting the candidate region from an image, it is necessary to take a kind of technology to determine whether the split target is a pedestrian. By analysis and feature extraction to segmentations of pedestrian candidate region, the classification of pedestrians has been studied. The pedestrian classifier of the SVM (Support Vector Machines) has been trained with pedestrian's typical characteristics...
Most of the previous audio-watermarking schemes are robust to common signal-processing attacks, but show severe problems when faced with desynchronization attacks. To solve the problems associated with these approaches, we propose an audio-watermarking scheme based on support-vector-machine (SVM) theory to protect against desynchronization attacks by using audio statistics characteristics and a synchronization...
Sunspot number time series, as a multivariable, strong coupling and nonlinear time series, has encountered troubles to describe its changes rules with modeling method owing to great complexity of sunspot number change. The main aim of this study is to develop a novel prediction method, based on the Quantum Neural Networks, which is composed of some quantum neurons and traditional neurons based on...
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