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检索条件"任意字段=Conference on High-Performance Computing in Geoscience and Remote Sensing VI"

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A Hierarchical Model for Embedded Real-time Stereo Imaging 8

A Hierarchical Model for Embedded Real-time Stereo Imaging

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conference on high-performance computing in geoscience and remote sensing viII

作者： He, Wenjing Hu, Jian Zhou, Chuncheng Li, Chuanrong Li, Wei Han, Yalan Chinese Acad Sci Key Lab Quantitat Remote Sensing Informat Technol Acad Optoelect Beijing 100094 Peoples R China

ISBN: (数字)9781510621688

ISBN: (纸本)9781510621688

The special features of Stereo Imaging for LiDAR and hyperspectral sensor are multi-source data and complex algorithm, which will bring huge challenges to embedded real-time processing. To improve system performance, efficient software design is important. In this paper, based on the hardware platform with FPGA+2C6678, a hierarchical parallel model for software design is studied. In intermediate layer, an adaptive dynamic scheduling strategy and a two-stage pipeline parallel architecture based on message transmission are presented, which provide efficient connection between the top application design and the bottom hardware environment. The results indicate that this model is strongly supportive for the high-performance of embedded system, and is beneficial for the open and universal design.

关键词： stereo imaging real-time hierarchical model embedded system

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Evaluating Data Speed for 5G Mobile Technologies using Queuing Models 4

Evaluating Data Speed for 5G Mobile Technologies using Queui...

引用

4th IEEE Asia-Pacific conference on geoscience, Electronics and remote sensing Technology (AGERS)

作者： Baryun, Abdussalam Nuri Ben Hamed, Khaled Univ Tripoli Mobile Comp Dept Fac Informat Technol Tripoli Libya

ISBN: (纸本)9781665428071

high speed communication and data movement is the key for mobile technologies and systems evolutions, which requires broadband communications and intelligent networking. The 5G mobile infrastructure enables development of many mobile technologies to fully use new technologies such as AI, mobile edge computing, M2M and data analytics. 5G/IMT-2020 will provide new applications and services for both developed and developed countries. Applications such as smart transport systems, e-health, education, smart grid, agriculture and disaster relief. In this paper we simulate and evaluate the mobile system related to its mobile application by using suitable queuing models to provide best performance based on its QoS.

关键词： 5G Communication Technologies Mobile computing ITS IoT M2M D2D Queuing Models

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remote sensing for aerosol particles in marine atmosphere using scattering of optical vortex 7

Remote sensing for aerosol particles in marine atmosphere us...

引用

conference on high-performance computing in geoscience and remote sensing viI

作者： Guo, Linxin Huang, Qingqing Cheng, Mingjian Li, Jiangting Yan, Xu Xidian Univ Sch Phys & Optoelect Engn Xian 710071 Shaanxi Peoples R China State Key Lab Pulsed Power Laser Technol Hefei 230037 Anhui Peoples R China

ISBN: (纸本)9781510613256;9781510613249

Based on the scattering effect of optical vortex, the remote sensing for aerosol particles in marine atmosphere is investigated. The influences of orbital angular momentum (OAM) mode and beam width of Laguerre-Gaussian (LG) beam on the performance on the remote sensing for aerosol particles in marine atmosphere are analyzed numerically. The scattering properties of aerosol particles by LG beam are more sensitive to the change of relative humidity, compared to that of plane wave and Gaussian beam (GB). remote sensing systems based on LG beam with OAM modes show superiority over traditional plane wave and Gaussian beam cases in detecting the changes in relative humidity of marine atmosphere aerosol. Results also indicate that, when the number of OAM modes p (l) increase, the Radar CrossSection (RCS) of aerosol particles alternating appear extreme values in the forward and backward scattering, because of the special ring-shaped distribution of LG beam. The forward and backward scattering of aerosol particles decrease with the increase in beam waist. As beam waist is less than the radius of aerosol particle, there exists a minimum value in the forward direction.

关键词： Aerosol particles Laguerre-Gaussian beam relative humidity Mie scattering

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ScOSA - Application Development for a high-performance Space Qualified Onboard computing Platform 8

ScOSA - Application Development for a High-Performance Space...

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conference on high-performance computing in geoscience and remote sensing viII

作者： Schwenk, Kurt Ulmer, Moritz Peng, Ting German Aerosp Ctr DLR GSOC Munchner Str 20 D-82234 Wessling Germany German Aerosp Ctr DLR Simulat & Software Technol Lilienthalpl 7 D-38108 Braunschweig Germany

ISBN: (数字)9781510621688

ISBN: (纸本)9781510621688

Future onboard computing applications require signi ficantly greater computing performance than is currently provided by standard space qualified onboard computers. Examples of such applications include onboard data analysis and (rendezvous) navigation tasks. Therefore, the German Aerospace Center is currently developing Scalable On-board computing for Space Avionics (ScOSA). The aim of the ScOSA onboard computing platform is to deliver high performance, reliability, scalability and cost-efficiency. To reach these properties, a distributed computing platform approach is used, by which reliable radiation hardened computing nodes (LEON3's) are combined with several high performance computing nodes (Xilinx Zynq), connected over a high-bandwidth SpaceWire network. The execution platform consists of a distributed task-based framework. In this paper, the architecture, features and capabilities of the ScOSA onboard computing platform are presented from an application developer's view. A brief summary of the design goals and the general hardware and software architecture of the ScOSA system will be introduced. This is followed by a description of the programming model and the application interface, with a focus on how the distributed nature of the ScOSA system is handled. It will also be shown how an existing application can be integrated in the ScOSA system. The main part of this paper will focus on the computing performance attainable from the ScOSA platform. There will be a comparison of the computing performance of an example application executed on the ScOSA system versus a standard PC. It will also be demonstrated how the performance of an application can be improved by adapting it to the distributed computing architecture of the ScOSA platform. Furthermore, a short overview of the failure detection and recovery features of the ScOSA platform are described and how they can be integrated into an application.

关键词： computing systems Distributed computing Commercial off the shelf technology Software development Standards development Computer architecture Space operations Data processing Field programmable gate arrays Reliability

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high-performance technology for indexing of high volumes of Earth remote sensing data 7

High-performance technology for indexing of high volumes of ...

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conference on high-performance computing in geoscience and remote sensing viI

作者： Strotov, Valery V. Taganov, Alexander I. Kolesenkov, Aleksandr N. Kostrov, Boris V. Ryazan State Radio Engn Univ 59 Gagrina Str Ryazan Russia

ISBN: (纸本)9781510613256;9781510613249

The present paper has suggested a technology for search, indexing, cataloging and distribution of aerospace images on the basis of geo-information approach, cluster and spectral analysis. It has considered information and algorithmic support of the system. Functional circuit of the system and structure of the geographical data base have been developed on the basis of the geographical online portal technology. Taking into account heterogeneity of information obtained from various sources it is reasonable to apply a geoinformation platform that allows analyzing space location of objects and territories and executing complex processing of information. Geoinformation platform is based on cartographic fundamentals with the uniform coordinate system, the geographical data base, a set of algorithms and program modules for execution of various tasks. The technology for adding by particular users and companies of images taken by means of professional and amateur devices and also processed by various software tools to the array system has been suggested. Complex usage of visual and instrumental approaches allows significantly expanding an application area of Earth remote sensing data. Development and implementation of new algorithms based on the complex usage of new methods for processing of structured and unstructured data of high volumes will increase periodicity and rate of data updating. The paper has shown that application of original algorithms for search, indexing and cataloging of aerospace images will provide an easy access to information spread by hundreds of suppliers and allow increasing an access rate to aerospace images up to 5 times in comparison with current analogues.

关键词： technology aerospace image satellite image indexing cataloging data geoinformation system GIS fuzzy clustering

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remote sensing and Geographic Information Systems (GIS) for developing countries

Remote sensing and Geographic Information Systems (GIS) for ...

引用

IEEE International geoscience and remote sensing Symposium (IGARSS 2002)/24th Canadian Symposium on remote sensing

作者： Mohamed, M Plante, R Upper Marlboro MD 20774 1616 McCormick Drive United States

ISBN: (纸本)078037536X

This paper discusses the need for geospatial information technologies in developing countries to support sustainable development. One of the major issues facing many developing countries is the need for better utilization and protection of their natural resources. In the world's industrialized nations remote sensing and GIS technologies are used in many applications that include, but not limited to, natural resources management and protection, environmental monitoring, agriculture, geology, hydrology and water resource management, disaster management, urban planning, monitoring spread of infectious diseases, and marine studies. These nations have made heavy investment in building and deploying space assets to monitor earth resources. However, very little has been done to promote the leveraging of this investment in technology by developing countries. There are far reaching benefits to these emerging economies through the exploitation of this technology. Not only could they be forewarned about natural disasters to minimize loss of life and property, but, they could use it to enhance their country's critical food supply and water resources and even develop an effective natural resource exploitation (e.g. oil and gas) capability. These capabilities will allow developing countries to become more self-reliant and less dependent on other countries and international aid agencies. remote sensing and GIS technologies can be transferred to developing countries for implementation of large-scale and national GIS systems. Such systems will integrate advanced computing platforms, high-speed networks, high performance image processing and GIS products, sophisticated data capturing devices, state-of-the-art product generation equipment, and robust archival and dissemination elements. A variety of remotely sensed data (multi-temporal, spatial, and spectral resolution), geospatial, and in-situ data will be integrated to generate value-added products, extract thematic/spatial features

关键词： remote sensing

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A new tool for supervised classification of satellite images available on web servers: Google Maps as a case of study 6

A new tool for supervised classification of satellite images...

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conference on high-performance computing in geoscience and remote sensing vi

作者： Garcia-Flores, Agustin Paz-Gallardo, Abel Plaza, Antonio Li, Jun Univ Extremadura Hyperspectral Comp Lab Caceres Spain CIEMAT Trujillo Spain Sun Yat Sen Univ Sch Geog & Planning Ctr Integrated Geog Informat Anal Guangdong Prov Key Lab Urbanizat & Geosimulat Guangzhou Guangdong Peoples R China

ISBN: (纸本)9781510604186;9781510604193

This paper describes a new web platform dedicated to the classification of satellite images called Hypergim. The current implementation of this platform enables users to perform classification of satellite images from any part of the world thanks to the worldwide maps provided by Google Maps. To perform this classification, Hypergim uses unsupervised algorithms like Isodata and K-means. Here, we present an extension of the original platform in which we adapt Hypergim in order to use supervised algorithms to improve the classification results. This involves a significant modification of the user interface, providing the user with a way to obtain samples of classes present in the images to use in the training phase of the classification process. Another main goal of this development is to improve the runtime of the image classification process. To achieve this goal, we use a parallel implementation of the Random Forest classification algorithm. This implementation is a modification of the well-known CURFIL software package. The use of this type of algorithms to perform image classification is widespread today thanks to its precision and ease of training. The actual implementation of Random Forest was developed using CUDA platform, which enables us to exploit the potential of several models of NviDIA graphics processing units using them to execute general purpose computing tasks as image classification algorithms. As well as CUDA, we use other parallel libraries as Intel Boost, taking advantage of the multithreading capabilities of modern CPUs. To ensure the best possible results, the platform is deployed in a cluster of commodity graphics processing units (GPUs), so that multiple users can use the tool in a concurrent way. The experimental results indicate that this new algorithm widely outperform the previous unsupervised algorithms implemented in Hypergim, both in runtime as well as precision of the actual classification of the images.

关键词： remote sensing data processing satellite/airborne image classification web-based system Random Forest GPGPU

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performance of Global 3D model retrievals of the Martian surface using the UCL CASP-GO system on CTX stereo images on Linux clusters and Microsoft Azure® cloud computing platforms 8

Performance of Global 3D model retrievals of the Martian sur...

引用

conference on high-performance computing in geoscience and remote sensing viII

作者： Tao, Y. Muller, J-P. Univ Coll London Imaging Grp Mullard Space Sci Lab Dorking RH5 6NT Surrey England

ISBN: (数字)9781510621688

ISBN: (纸本)9781510621688

In this paper we introduce the Mars planet-wide 3D surface modelling work performed within the EU FP-7 iMars project which completed last year. In this report, we describe a fully automated multi-resolution DTM processing chain developed by the Imaging Group at UCL-MSSL, called CASP-GO based upon the heritage NASA Ames Stereo Pipeline (ASP) and the Gotcha image matcher. The CASP-GO system has been integrated into the Microsoft Azure cloud computing environment and successfully processed similar to 5,300 unique CTX DTMs covering similar to 19% of the Martian surface at 18m resolution.

关键词： 3D model DTM CASP-GO cloud computing Mars stereo CTX

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On the use of Jetson TX1 board for Parallel Hyperspectral Compressive sensing 7

On the use of Jetson TX1 board for Parallel Hyperspectral Co...

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conference on high-performance computing in geoscience and remote sensing viI

作者： Nascimento, Jose M. P. Martin, Gabriel Inst Telecomunicacoes Lisbon Portugal Inst Super Engn Lisboa Lisbon Portugal

ISBN: (纸本)9781510613256;9781510613249

Hyperspectral imaging instruments measure hundreds of spectral bands (at different wavelength channels) for the same area of the surface of the Earth. Typically the data cube collected by these sensors comprises several GBs per flight, which have attracted attention to on-board techniques for compression. Typically these compression techniques are expensive from the computational point of view. Due to this fact, a number of Compressive sensing and Random Projection techniques have raised as an alternative to reduce the signal size on-board the sensor. The measuring process of these techniques usually consist on performing dot products between the signal and random vectors. The Compressive sensing process is performed directly in the optic system, however, in this paper, we propose to perform the random projection measurement process on a low power consumption Graphic Processing Unit. The experiments are conducted on a Jetson TX1 board, which is well suited to perform vector operations such as dot products. These experiments have been performed to demonstrate the applicability, in terms of accuracy and time consuming, of these methods for onboard processing. The results show that by using this low power consumption GPU is it possible to obtain real-time performance with a very limited power requirement.

关键词： Hyperspectral imaging Matrices Compressed sensing Signal processing Image processing Sensors Image compression Reconstruction algorithms Image sensors Graphics processing units

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Multiclass Change Detection for Multidimensional Images in the Presence of Noise 8

Multiclass Change Detection for Multidimensional Images in t...

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conference on high-performance computing in geoscience and remote sensing viII

作者： Lopez-Fandino, Javier Heras, Dora B. Arguello, Francisco Univ Santiago de Compostela Ctr Singular Invest Tecnoloxias Informac CiTIUS Santiago De Compostela Spain Univ Santiago de Compostela Dept Elect & Computac Santiago De Compostela Spain

ISBN: (数字)9781510621688

ISBN: (纸本)9781510621688

Change Detection (CD) techniques applied over multitemporal multispectral or hyperspectral remote sensing images allow monitoring changes in the land use or catastrophe tracking, among other applications. A multiclass CD technique for multidimensional images that is robust in the presence of noise is presented in this paper. The technique combines fusion at feature level to perform a first change/no change labeling (binary CD) and a later stage with fusion at decision level that performs a supervised multidate classification of the changed pixels (multiclass CD) obtaining the final from-to change map. The acquisition of multidimensional images usually corrupts the original signal by adding noise. This noise can be related with natural random processes or it can be produced during the sensor operation. Additive White Gaussian Noise (AWGN) and speckle noise simulate these effects. In this paper the robustness of the proposed CD technique in noisy scenarios for these two types of noise of varying intensity is evaluated. The experimental results show that the proposed technique is more robust than other alternatives, achieving accuracies close to those obtained in the absence of noise. The proposed technique is designed to be efficiently computed in GPU, thus dealing with the high computational cost of the processing of multidimensional images.

关键词： Multiclass change detection remote sensing noise classification GPU

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