The polarized hyperspectral images (PHSI) include polarization, spectral, spatial and radiant features, which provide more information about objects and scenes than traditional intensity or spectrum ones. And polarization can suppress the background and highlight the object, leading to the high potential to improve camouflaged target detection. So polarized hyperspectral imaging technique has aroused extensive concern in the last few years. Nowadays, the detection methods are still not very mature, most of which are rooted in the detection of hyperspectral image. And before using these algorithms, Stokes vector is used to process the original four-dimensional polarized hyperspectral data firstly. However, when the data is large and complex, the amount of calculation and error will increase. In this paper, tensor is applied to reconstruct the original four-dimensional data into new three-dimensional data, then, the constraint energy minimization (CEM) is used to process the new data, which adds the polarization information to construct the polarized spectral filter operator and takes full advantages of spectral and polarized information. This way deals with the original data without extracting the Stokes vector, so as to reduce the computation and error greatly. The experimental results also show that the proposed method in this paper is more suitable for the target detection of the PHSI.
The CODATA Data Science Journal is a peer-reviewed, open access, electronic journal, publishing papers on the management, dissemination, use and reuse of research data and databases across all research domains, including science, technology, the humanities and the arts. The scope of the journal includes descriptions of data systems, their implementations and their publication, applications, infrastructures, software, legal, reproducibility and transparency issues, the availability and usability of complex datasets, and with a particular focus on the principles, policies and practices for open data.All data is in scope, whether born digital or converted from other sources.
As one of the most cutting-edge technologies of graphics and multimedia, the core of the three-dimensional map is the spatial layout design of the virtual world. The three-dimensional digital map has significant spatial design significance. It uses a method consistent with geographic theory to integrate the real and the fiction and attach it to various applications such as factory layout, workshop layout, production line planning, and so on. Therefore, the three-dimensional digital map as the spatial background of production and operation to carry various resources is an important part of digital design. Among them, ensuring that the virtual avatar representing a real person can move in an open and feasible space and reach the expected endpoint is an important content of three-dimensional map path planning. To solve the problem of 3D map design level testing, this paper proposes an automated testing method driven by ai multi-agents, which simulates three typical human behaviors and conducts automatic, fast, and comprehensive testing of 3D maps to evaluate the level of 3D map design.
This paper proposes a novel ultra high frequency (UHF) radar system for river dynamics parameters monitoring. As compared with conventional radar system: (1) Intermediate frequency (IF) sampling mode of traditional superheterodyne receivers is replaced by the direct radio frequency (RF) band-pass sampling and orthogonal demodulation (2) Multi-channel antenna system is divided into two units, which realizes that one radar system operation obtains two-dimensional current vectors. Results of field test compared with EKZ-I current measurement at Xiantao Hydrological Station, China from August to September in 2014 are given to demonstrate the correctness and effectiveness of this system.
Geographical GRID system is of great importance in fields such as public security, military action, emergency response etc. The homogenizing distributed geographic environment system requires the same geographical information for operations in each node. The bottle neck is how to reliably and accurately synchronize the great volume geographical data. This paper solves the problem in three ways. First, the message server queue is constructed for stable message delivery. In this way, the message server always has its alternative in preparation for breakdowns, and the whole GRID always has single working message server. Then the message server queue can be constructed and effectively works. This mode has the advantages of the other two modes that the message delivery is more reliable and less time-costing. Second, both push and pull modes are adopted to send messages in time. Push mode means the node which has altered its data is responsible for the delivery of the changed part, like ldquopushrdquo the data to the message server. While pull mode means the demand node or the message server is responsible to check the data status in other nodes and ldquopullrdquo the new data from the source. In push mode, if the network between the sponsor node and the message server break down, the message could be missing or the sponsor could be halted, when the network resumed, the update action could not be invoked again. And in pull mode, the message server needs to check the data and collect update parts in the whole grid, which is a time-costing operation that could not be executed frequently. So the combination mode is adopted. In combination mode, not only does each node has its own update trigger to invoke the delivery of the new data, but also the message server also can recurrently check the data status after an assigned interval according to the network situation and the computation ability, then the duly update can be guaranteed. Third, an extended GML is developed to wrap the geographical data. GML defines a lot of types of elements and attributes to describe the geographical entity in detail. But to synchronize geo-information in GRID-GIS, these definitions are not adequate. Because the spatial data must be wrapped into small flexible and linkable unit to cut down the time of delivering and receiving which are the most unstable periods in synchronizing course and to resend and assembly the units in unambiguous order. So our system developed the extended GML format, in which granularity level, including relation, inner string length are defined. By its help, the volume of data message is controllable and it is more reliable and accurate to resend and assembly the data fragments. These three methods are the key solutions to the geographical information synchronizing in GRID-GIS. Their validity has been proved in practice.
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