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International Journal of Grid and Distributed Computing最新文献

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System for Evaluating Elements of VR Content that Cause Motion Sickness 用于评估VR内容中导致运动疾病的元素的系统
Pub Date : 2018-06-30 DOI: 10.14257/ijgdc.2018.11.6.09
Su-min Jung, Dong-Yue Wang, T. Whangbo
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引用次数: 0
MHUCR: Mutli Hop Uniform Clustering Routing Protocol for Energy Efficient WSN MHUCR:用于节能WSN的多跳统一集群路由协议
Pub Date : 2018-06-30 DOI: 10.14257/ijgdc.2018.11.6.10
S. Alabady, S. Raed
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引用次数: 4
Effect of Power Control on D2D Cellular and LED Communications 电源控制对D2D蜂窝和LED通信的影响
Pub Date : 2018-06-30 DOI: 10.14257/IJGDC.2018.11.6.06
S. Kang, J. Kim
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引用次数: 0
Optimal Allocation and Sizing of DG in Radial Distribution System-A Review 径向配电系统中DG的优化配置和规模——综述
Pub Date : 2018-06-30 DOI: 10.14257/IJGDC.2018.11.6.05
P. Niveditha, M. Sujatha
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引用次数: 4
Real-time Calorie Extraction and Cuisine Classification through Food-Image Recognition 通过食物图像识别的实时卡路里提取和菜肴分类
Pub Date : 2018-06-30 DOI: 10.14257/IJGDC.2018.11.6.07
Hye-Jun Suh, Kanghee Lee
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引用次数: 3
Enhancement of Voltage stability and Transmission Congestion management with UPFC UPFC增强电压稳定性和传输拥塞管理
Pub Date : 2018-06-30 DOI: 10.14257/IJGDC.2018.11.6.02
A. Kishore, B. Mohan
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引用次数: 4
An Efficient Multi-class Message Scheduling Scheme for Healthcare IoT Systems 一种适用于医疗物联网系统的高效多类消息调度方案
Pub Date : 2018-05-31 DOI: 10.14257/IJGDC.2018.11.5.06
Kee-Hyun Park, I. Kim, Joonsuu Park
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引用次数: 1
Fast Detection of Image Forgery using Three Step Search Algorithm based on Discrete Cosine Transform 基于离散余弦变换的三步搜索算法快速检测图像伪造
Pub Date : 2018-05-31 DOI: 10.14257/ijgdc.2018.11.5.05
Yong-Dal Shin
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引用次数: 1
Use of Drones for Secure Mobile-Commerce: A Secure Commerce Platform Provides Target Information using Drones and CCTV 使用无人机进行安全移动电子商务:一个安全的商业平台使用无人机和闭路电视提供目标信息
Pub Date : 2018-05-31 DOI: 10.14257/IJGDC.2018.11.5.09
Il-Kyu Ha
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引用次数: 0
Epipolar Resampling of Pushbroom Satellite Images Using Piecewise Linear Implementation of Pseudo Epipolar Line 利用伪极线分段线性实现推帚卫星图像的极重采样
Pub Date : 2018-05-31 DOI: 10.14257/ijgdc.2018.11.5.04
Dong-Min Woo, Thanh-Danh Pham
This paper presents a practical and efficient epipolar resampling method for pushbroom satellite images. We proposed a new resampling scheme based on PEL (Pseudo Epipolar Line). The main concept of PEL is derived from the assumption that the projection line from the satellite image sensor is a straight line. In this context, the epipolar line can be assumed as PEL, which can be directly evaluated directly from RPC (Rational Polynomial Coefficient) model. The pushbroom satellite image sensor uses a linear array scanner for image capture. Since the resulting images are formed by collecting the one-dimensional line images with the sensor movement, the line assumption is best approximated in the vicinity of the area forming the one dimensional line image. In this regard, we devise a piecewise linear implementation approach of the PEL epipolar resampling method to best approximate the epipolarity model of the linear pushbroom image. In this new approach, whole satellite images are divided into small images (pieces), and epipolar resampling is performed on each individual piece using the PEL. This approach is very accurate because the epipolar lines in each small image are evaluated by conjugate points within the terrain corresponding to the small image. Experimental results show that highly accurate resampling was achieved when all the whole images are divided into multiple small pieces. Our study confirmed that the suggested method can be efficiently utilized in epipolar image generation.
本文提出了一种实用有效的推送室卫星图像核极重采样方法。我们提出了一种新的基于PEL(伪极谱线)的重采样方案。PEL的主要概念来源于卫星图像传感器的投影线是一条直线的假设。在这种情况下,核线可以假设为PEL,它可以直接从RPC(有理多项式系数)模型中进行评估。推送室卫星图像传感器使用线性阵列扫描仪进行图像捕获。由于所得到的图像是通过随着传感器移动收集一维线图像而形成的,因此线假设在形成一维线图像的区域附近最佳地近似。在这方面,我们设计了PEL核极重采样方法的分段线性实现方法,以最佳地近似线性推送室图像的核极性模型。在这种新方法中,将整个卫星图像划分为小图像(片段),并使用PEL对每个单独的片段执行核极重采样。这种方法非常准确,因为每个小图像中的核线是通过与小图像相对应的地形内的共轭点来评估的。实验结果表明,当将所有图像分割成多个小块时,可以实现高精度的重采样。我们的研究证实了所提出的方法可以有效地用于极核图像的生成。
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引用次数: 1
期刊
International Journal of Grid and Distributed Computing
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