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ROAD NETWORK MAPPING USING AIRBORNE LiDAR DATA
Road Airborne Laser Scanning (ALS) Intensity
2019/2/28
The accurate, detailed and up-to-date road information is highly essential geo-spatial databases for transportation, smart city and other related applications. Thus, the main objective of this researc...
ORTHOSEG: A DEEP MULTIMODAL CONVOLUTONAL NEURAL NETWORK ARCHITECTURE FOR SEMANTIC SEGMENTATION OF ORTHOIMAGERY
Deep Learning Supervised Image Segmentation Residual Networks
2019/2/28
This paper addresses the task of semantic segmentation of orthoimagery using multimodal data e.g. optical RGB, infrared and digital surface model. We propose a deep convolutional neural network archit...
IDENTIFICATION OF SIMILARITIES AND PREDICTION OF UNKNOWN FEATURES IN AN URBAN STREET NETWORK
urban traffic traffic analysis machine learning clustering
2018/11/9
Accurate predictions of the characteristics of urban streets in particular with respect to the typical traffic situations are crucial for numerous real world applications such as navigation, schedulin...
HISTORICAL SDI, THEMATIC MAPS AND ANALYSIS OF A COMPLEX NETWORK OF MEDIEVAL TOWERS (13TH–15TH CENTURY) IN THE MOORISH STRIP
GIS, Historical SDI, Spatial Data Analysis, Visibility, Medieval heritage, Towers of Moorish Strip
2018/11/9
This work is part of an investigation into the use of GIS for the documentation and comprehension of medieval architectural heritage in the ancient Kingdom of Seville. The research was done in the fra...
OPEN NETWORK FOR LOCAL SELF SUSTAINABILITY, BOOSTING BIOREGIONAL DEVELOPMENT THROUGH AN OPEN DATA SHARING SYSTEM
Self sustainability Spatial Data Sharing Systems geo-referenced LCA data
2018/11/8
The paper presents an online geodatabase currently under development. Its name is Open NETwork for Local Self Sustainability and the website address is www.oloss.net.The goal of this platform is to pu...
ABOVEGROUND BIOMASS ESTIMATION USING RECONSTRUCTED FEATURE OF AIRBORNE DISCRETE-RETURN LIDAR BY AUTO-ENCODER NEURAL NETWORK
Aboveground Biomass (AGB) Estimation Discrete-Return LiDAR Regression Auto-Encoder Neural Network
2018/5/14
Aboveground biomass (AGB) estimation is critical for quantifying carbon stocks and essential for evaluating carbon cycle. In recent years, airborne LiDAR shows its great ability for highly-precision A...
STUDY ON THE CLASSIFICATION OF GAOFEN-3 POLARIMETRIC SAR IMAGES USING DEEP NEURAL NETWORK
SAR Classification Deep Learning GoogLeNet Landcover Gaofen-3 satellite
2018/5/16
Polarimetric Synthetic Aperture Radar(POLSAR) imaging principle determines that the image quality will be affected by speckle noise. So the recognition accuracy of traditional image classification met...
On Optimisation of Cluster-based Sensor Network Tracking System
WSN wireless sensor network target tracking cluster optimisation
2016/1/23
Tracking mobile targets using low-cost Wireless Sensor Network (WSN) requires not only good tracking accuracy but also network longevity. Cluster-based tracking protocols leverage the fact that only s...
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting
Deep Event Network Multimedia Event Detection
2016/1/22
In this paper, we focus on complex event detection in internet videos while also providing the key evidences of the detection results. Convolutional Neural Networks (CNNs)have achieved promising perfo...
WEB-BASED NETWORK SAMPLING: EFFICIENCY AND EFFICACY OF RESPONDENT-DRIVEN SAMPLING FOR ONLINE RESEARCH
EFFICIENCY ONLINE RESEARCH
2015/9/11
WEB-BASED NETWORK SAMPLING: EFFICIENCY AND EFFICACY OF RESPONDENT-DRIVEN SAMPLING FOR ONLINE RESEARCH.
Adjustment and transformation strategies of ItalPoS Permanent GNSS Network
GNSS Permanent Network Globk Adjustment Strategies Boucher Altamimi transformation
2015/8/28
A private network of 133 Global Navigation Satellite Systems (GNSS) permanent sites, named ItalPoS (Italian Positioning Service) and uniformly covering the entire Italian territory, was established in...
Wavelet analysis of the LF radio signals collected by the European VLF/LF network from July 2009 to April 2011
Radio Network Wavelet precursors
2015/8/24
In 2008, a radio receiver that works in very low frequency (VLF; 20-60 kHz) and LF (150-300 kHz) bands was developed by an Italian factory. The receiver can monitor 10 frequencies distributed in these...
Optimized Noisy Network Coding for Gaussian Relay Networks
Optimized Noisy Network Gaussian Relay Networks
2015/8/17
In this paper, we provide an improved lower bound on the rate achieved by noisy network coding in arbitrary Gaussian relay networks, whose gap to the cutset upper bound depends on the network not only...
Noisy network coding naturally combines two parallel lines of work on network information flow — network coding over noiseless networks by Ahlswede, Cai, Li, and Yeung, and compress–forward codi...
Noisy network coding unifies network coding by Ahlswede, Cai, Li, and Yeung for noiseless networks and compress–forward by Cover and El Gamal for noisy relay channels.