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In this paper, we propose a framework that fuses textual and visual features of user generated social media data to mine the distribution of user interests. The proposed framework consists of three steps: feature extraction, model training, and user interest mining. We choose boards from popular users on Pinterest to collect training and test data. For each pin we extract the term-document matrices...
Doppler radar can monitor vital sign wirelessly. Respiratory and heart rate have time-varying behavior. Capturing the rate variability provides crucial physiological information. However, the common time-frequency methods fail to detect key information. We investigate Synchrosqueezing method to extract oscillatory components of the signal with time varying spectrum. Simulation and experimental result...
Partial discharge is an important cause of the deterioration of the cable insulation condition, and also an important manifestation of the deteriorated insulation condition. Partial discharge detection for cable insulation is an important means to find the cable insulation defects and assess state of the cable insulation. Partial discharge signals from different sources have great harm to the power...
Sonar image automatic target recognition (ATR) is urgently needed in large-scale marine investigation. A modelbased Sonar image ATR method based on SIFT features is proposed in this paper. The proposed method can realize ATR for arbitrary shaped target by physically model 3D under water scene, generate simulated template images, extract Scale-invariant feature transform (SIFT) keypoints and matching...
Rotating velocity (RV) estimation is important for inverse synthetic aperture radar image forming and understanding. In this paper, based on the sub-pixel level position extraction of prominent scattering centers on range-Doppler image series, two kinds of RV estimation method are proposed based on the exploitation of line feature and triangle feature formed by the extracted scattering centers, respectively...
Rotating velocity (RV) estimation is a prerequisite for inverse synthetic aperture radar (ISAR) to re-scale the imaging results from the conventional range-Doppler (RD) domain to the range-cross range domain. Based on the mapping of RD imaging, two slope functions, i.e. Doppler-range slope and range-Doppler slope, are defined for a line on the image plane. Then, by detecting the line features on the...
Finer image resolution may be obtained with larger accumulated aspect angle for inverse synthetic aperture radar (ISAR), which may be provided by two mono-static ISAR systems. To form finer images with co-planar observations at different aspects, parameters such as the rotating of the non-cooperative moving object and the aspect angle difference between them must be provided. In this paper, a method...
This paper proposes a method to combine the digital images and Laser point clouds to reconstruct the 3D model of the archaic glockenspiel. All the stations of the Laser point clouds are connected according to the ICP arithmetic. Then image matching is used to register the high resolution digital images and the Laser synchronous images to gain the corresponding texture of the Laser point clouds. Finally,...
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