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SAR Tomography (TomoSAR) regards multi-baseline observation data as array observation data and realizes three-dimensional imaging by applying direction of arrival (DOA) estimation processing. To improve angular resolution of the TomoSAR with suppressing ambiguity, many repeat-pass data are required. However, it is often difficult to increase the number of data because of the cost. In this paper, we...
Nowadays environmental science experiences tremendous growth of raster data: N-dimensional (N-d) arrays coming mainly from numeric simulation and Earth remote sensing. An array DBMS is a tool to streamline raster data processing. However, raster data are usually stored in files, not in databases. Moreover, numerous command line tools exist for processing raster files. This paper describes a distributed...
Lateral resolution and therefore image quality in ultrasound is tied to aperture size. While this relationship is understood in ideal imaging conditions, the utility of a large aperture in the presence of clutter is unknown. This problem is particularly relevant to abdominal imaging where thick tissue layers and deep targets create a challenging imaging environment. Previous studies have focused on...
As medical ultrasound (MU) signals are not stationary, the radiation pattern of the corresponding input data does not have a specific shape; thus, their reconstruction using Adaptive Beamformers (BF) becomes indispensable in order to improve the quality of the imaging system. Generalized Sidelobe Canceller (GSC) is a robust realization against clutter and interference, resulting from an elegant representation...
We present OctNet, a representation for deep learning with sparse 3D data. In contrast to existing models, our representation enables 3D convolutional networks which are both deep and high resolution. Towards this goal, we exploit the sparsity in the input data to hierarchically partition the space using a set of unbalanced octrees where each leaf node stores a pooled feature representation. This...
In this work, the problem of developing algorithms that automatically infer information about small-scale solar photovoltaic (PV) arrays in high resolution aerial imagery is considered. Such algorithms potentially offer a faster and cheaper solution to collecting small-scale PV information, such as their location and capacity. Existing work on this topic has focused on the automatic identification...
We describe the distributed storage structure which can be effectively applied to scientific multidimensional imagery data in geoinformatics. Basic principal of this project is distributed (N,K)-block storage schema (LH*RS or SDDS). We develop the descent of LH*RS especially for multidimensional data arrays using the multiscaled representation of these arrays and using the efficient preprocessing...
This paper introduces the characteristics and the new technologies applied in Fengyun-3 Series Meteorological Satellite Data Archiving and Service System. The system integrates several high-performance servers, high availability disk array, large-scale automated tape library as well as operation system, database, storage software and application software, all of which constitutes archive and service...
In this paper, a multi-aperture synthetic focusing technique based on virtual source is studied, which improves the lateral resolution and depth of the ultrasonic imaging with respect to the single array dynamic synthetic aperture focusing technique (SAFT). It only needs to store the N numbers data for the A scan line, and the complexity of the algorithm is greatly reduced compared with the full focus...
We consider multi-static radar with a single transmitter and multiple, spatially distributed, linear sensor arrays, imaging an area with several targets. Assuming that the location and orientation of all the sensor arrays is known and that all measurements are synchronized, we develop compressive sensing based methods to improve imaging performance. Our approach imposes sparsity on the complex-valued...
CMOS technology has found its way in THz imaging applications. Utilizing the plasma wave theory, a MOSFET device can detect THz radiation beyond the cutoff frequency. Assisted by the system-on-packaging technique, a CMOS source delivers radiation power more effectively. An imaging system demonstrates that a low-cost CMOS solution is feasible.
A power-saving readout scheme for CMOS image sensors (CIS) that utilizes the image properties is presented. The proposed delta-readout (Δ-readout) scheme reads the signal difference between two pixels located next to each other. By effectively reducing the dynamic range of the signal, the readout ADC can reduce the number of decision cycles and save power consumption while maintaining the ADC performance...
This paper describes an approach that improves the functionality of LH*RS - high-availability scalable distributed data structure. The core concept behind this approach is the particular implementation of LH* schema that allows efficient imagery data storage for online social networks to be created. We propose the novel wavelet-based method of buckets composition and distribution among storage nodes...
Soundfield imaging is a novel technique for efficiently encoding, representing and processing the wave field captured by a microphone array. Some of the possible applications include source and reflector localization. In this manuscript we discuss the resolution properties of the soundfield image and the trade-offs that need to be considered while designing the “soundfield camera”. Then we propose...
This paper presents a new architecture and circuit design for colour x-ray pixel array detector read-out electronics, based on two circuit designs; the Bayer method of pixel arrangement and the full energy and special resolution circuit design, a simulation of the sub sampling architecture was made in MATLAB Simulink and the results shows that the propose architecture produces images with an image...
Image Histogram is useful in wide range of applications, it shows the image intensity distribution which is used in many image processing techniques. The processing time is very critical in real time applications, so the optimized and robust techniques are preferred. This paper is discussing a simple method for calculating histogram of the image with sampled Histogram which is similar to the histogram...
The square and rectangular shape of the pixels in the digital images for sensing and display purposes introduces several inaccuracies in the representation of digital images. The major disadvantage of square pixel shapes is the inability to accurately capture and display the details in the objects having variable orientations to edges, shapes and regions. This effect can be observed by the inaccurate...
The shape of the displayed image of the lenticular lens array method is changed with the sampling methods. In this paper, we try to compare the perceived depth resolution between different sampling methods.
We developed a polarization dependent reactive mesogen lens array by using both bottom-up and top-down alignment method for 2D/3D switchable 3D device systems like auto-stereoscopic display and light field camera.
For downward-looking linear array three-dimensional SAR, the resolution in cross-track direction is a curial problem. Hence, compressive sensing algorithm has been used to acquire the superresolution performance in cross-track direction. The limits of the proposed algorithm are investigated in this paper. How accurately can the scattering intensity of the scatterers be estimated? What is the closest...
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