scholarly journals SLIC SUPERPIXELS FOR OBJECT DELINEATION FROM UAV DATA

2017 ◽  
Vol IV-2/W3 ◽  
pp. 9-16 ◽  
Author(s):  
S. Crommelinck ◽  
R. Bennett ◽  
M. Gerke ◽  
M. N. Koeva ◽  
M. Y. Yang ◽  
...  
Keyword(s):  
High Resolution ◽  
Low Cost ◽  
High Accuracy ◽  
Numerous Application ◽  
High Resolution Data ◽  
Cadastral Maps ◽  
Simple Linear Iterative Clustering ◽  
Object Delineation ◽  
Application Fields ◽  
Future Work

Unmanned aerial vehicles (UAV) are increasingly investigated with regard to their potential to create and update (cadastral) maps. UAVs provide a flexible and low-cost platform for high-resolution data, from which object outlines can be accurately delineated. This delineation could be automated with image analysis methods to improve existing mapping procedures that are cost, time and labor intensive and of little reproducibility. This study investigates a superpixel approach, namely simple linear iterative clustering (SLIC), in terms of its applicability to UAV data. The approach is investigated in terms of its applicability to high-resolution UAV orthoimages and in terms of its ability to delineate object outlines of roads and roofs. Results show that the approach is applicable to UAV orthoimages of 0.05 m GSD and extents of 100 million and 400 million pixels. Further, the approach delineates the objects with the high accuracy provided by the UAV orthoimages at completeness rates of up to 64 %. The approach is not suitable as a standalone approach for object delineation. However, it shows high potential for a combination with further methods that delineate objects at higher correctness rates in exchange of a lower localization quality. This study provides a basis for future work that will focus on the incorporation of multiple methods for an interactive, comprehensive and accurate object delineation from UAV data. This aims to support numerous application fields such as topographic and cadastral mapping.

Adopting Citizen Observations in Operational Weather Prediction

2019 ◽  
Vol 101 (1) ◽  
pp. E43-E57 ◽  
Author(s):  
Thomas N. Nipen ◽  
Ivar A. Seierstad ◽  
Cristian Lussana ◽  
Jørn Kristiansen ◽  
Øystein Hov
Keyword(s):  
High Resolution ◽  
Low Cost ◽  
Weather Prediction ◽  
Urban Heat Islands ◽  
Production Chain ◽  
Near Surface ◽  
High Resolution Data ◽  
Baltic Countries ◽  
Operational Systems ◽  
Weather Stations

Abstract Citizen weather stations are rapidly increasing in prevalence and are becoming an emerging source of weather information. These low-cost consumer-grade devices provide observations in real time and form parts of dense networks that capture high-resolution meteorological information. Despite these benefits, their adoption into operational weather prediction systems has been slow. However, MET Norway recently introduced observations from Netatmo’s network of weather stations in the postprocessing of near-surface temperature forecasts for Scandinavia, Finland, and the Baltic countries. The observations are used to continually correct errors in the weather model output caused by unresolved features such as cold pools, inversions, urban heat islands, and an intricate coastline. Corrected forecasts are issued every hour. Integrating citizen observations into operational systems comes with a number of challenges. First, operational systems must be robust and therefore rely on strict quality control procedures to filter out unreliable measurements. Second, postprocessing methods must be selected and tuned to make use of the high-resolution data that at times can contain conflicting information. Central to resolving these challenges is the need to use the massive redundancy of citizen observations, with up to dozens of observations per square kilometer, and treating the data source as a network rather than a collection of individual stations. We present our experiences with introducing citizen observations into the operational production chain of automated public weather forecasts. Their inclusion shows a clear improvement to the accuracy of short-term temperature forecasts, especially in areas where existing professional stations are sparse.

Incorporating emergency management needs in the development of weather radar networks

2009 ◽  
Vol 7 (1) ◽  
pp. 45 ◽  
Author(s):  
Ellen J. Bass, PhD ◽  
Leigh Baumgart, MS ◽  
Brenda Philips, MBA ◽  
Kevin Kloesel, PhD ◽  
Kathleen Dougherty, MA ◽  
...  
Keyword(s):  
High Resolution ◽  
Emergency Management ◽  
Low Cost ◽  
High Resolution Data ◽  
Product Usage ◽  
Adaptive Sensing ◽  
Emergency Managers ◽  
Radar Networks ◽  
Network Concept ◽  
Resolution Data

The Center for Collaborative Adaptive Sensing of the Atmosphere (CASA) is developing networks of lowpower, low-cost radars that adaptively collect, process, and visualize high-resolution data in the lowest portion of the atmosphere. CASA researchers are working with emergency managers (EM) to ensure that the network concept is designed with EMs’ needs in mind. Interviews, surveys, analysis of product usage logs, and simulated scenarios are being used to solicit EM input. Results indicate the need for products for both high- and low-bandwidth end users, visualizations for velocity products that are more easily interpreted, and enhanced training. CASA researchers are developing interventions to address these needs.

Development of a Highly Miniaturized PQT-Sensor for Monitoring and Diagnosing of Pneumatic Systems

2007 ◽  
Author(s):  
Christoph Sosna ◽  
Rainer Buchner ◽  
Walter Lang ◽  
Wolfgang Benecke ◽  
Christian Boehm ◽  
...  
Keyword(s):  
High Resolution ◽  
First Principles ◽  
High Performance ◽  
Low Cost ◽  
Fast Response ◽  
High Accuracy ◽  
Measuring Range ◽  
Micro Electro Mechanical Systems ◽  
Diagnostic Applications ◽  
Design Proposal

In this paper a feasibility study of a micromachined PQT-sensor for measurement of pressure (P), flow rate (Q), and temperature (T) for diagnostic applications in pneumatic systems is presented. As a low cost device this innovative PQT-sensor has to fulfill different kinds of criteria such as wide measuring range, fast response time, high resolution and high accuracy for diagnosing the health status of a pneumatic system. By using micro electro mechanical systems (MEMS) technologies small high-performance sensors were fabricated which fulfill all these criteria. At first, principles will be described that have been chosen for measurement of pressure, flow and temperature that will be used for the PQT-sensor. A design proposal for the sensor will be presented and verified with analytical calculations to show its applicability.

scholarly journals Object-Based Analysis Using Unmanned Aerial Vehicles (UAVs) for Site-Specific Landslide Assessment

2020 ◽  
Vol 12 (11) ◽  
pp. 1711 ◽  
Author(s):  
Efstratios Karantanellis ◽  
Vassilis Marinos ◽  
Emmanuel Vassilakis ◽  
Basile Christaras
Keyword(s):  
High Resolution ◽  
Unmanned Aerial Vehicles ◽  
Low Cost ◽  
Mass Movement ◽  
Terrain Analysis ◽  
Site Specific ◽  
High Resolution Data ◽  
Aerial Vehicles ◽  
Object Based

The increased development of computer vision technology combined with the increased availability of innovative platforms with ultra-high-resolution sensors, has generated new opportunities and fields for investigation in the engineering geology domain in general and landslide identification and characterization in particular. During the last decade, the so-called Unmanned Aerial Vehicles (UAVs) have been evaluated for diverse applications such as 3D terrain analysis, slope stability, mass movement hazard and risk management. Their advantages of detailed data acquisition at a low cost and effective performance identifies them as leading platforms for site-specific 3D modelling. In this study, the proposed methodology has been developed based on Object-Based Image Analysis (OBIA) and fusion of multivariate data resulted from UAV photogrammetry processing in order to take full advantage of the produced data. Two landslide case studies within the territory of Greece, with different geological and geomorphological characteristics, have been investigated in order to assess the developed landslide detection and characterization algorithm performance in distinct scenarios. The methodology outputs demonstrate the potential for an accurate characterization of individual landslide objects within this natural process based on ultra high-resolution data from close range photogrammetry and OBIA techniques for landslide conceptualization. This proposed study shows that UAV-based landslide modelling on the specific case sites provides a detailed characterization of local scale events in an automated sense with high adaptability on the specific case site.

scholarly journals Automating sleep stage classification using wireless, wearable sensors

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Alexander J. Boe ◽  
Lori L. McGee Koch ◽  
Megan K. O’Brien ◽  
Nicholas Shawen ◽  
John A. Rogers ◽  
...  
Keyword(s):  
High Resolution ◽  
Sleep Stage ◽  
Low Cost ◽  
Wearable Sensors ◽  
Sleep Stages ◽  
Sleep Monitoring ◽  
Promising Alternative ◽  
High Resolution Data ◽  
Sleep Stage Classification

AbstractPolysomnography (PSG) is the current gold standard in high-resolution sleep monitoring; however, this method is obtrusive, expensive, and time-consuming. Conversely, commercially available wrist monitors such as ActiWatch can monitor sleep for multiple days and at low cost, but often overestimate sleep and cannot differentiate between sleep stages, such as rapid eye movement (REM) and non-REM. Wireless wearable sensors are a promising alternative for their portability and access to high-resolution data for customizable analytics. We present a multimodal sensor system measuring hand acceleration, electrocardiography, and distal skin temperature that outperforms the ActiWatch, detecting wake and sleep with a recall of 74.4% and 90.0%, respectively, as well as wake, non-REM, and REM with recall of 73.3%, 59.0%, and 56.0%, respectively. This approach will enable clinicians and researchers to more easily, accurately, and inexpensively assess long-term sleep patterns, diagnose sleep disorders, and monitor risk factors for disease in both laboratory and home settings.

scholarly journals Capturing high-resolution water demand data in commercial buildings

2021 ◽  
Author(s):  
Peter Melville-Shreeve ◽  
Sarah Cotterill ◽  
David Butler
Keyword(s):  
High Resolution ◽  
Real Time ◽  
Water Demand ◽  
Rainwater Harvesting ◽  
Service Providers ◽  
Low Cost ◽  
Time Data ◽  
Smart Meters ◽  
High Resolution Data ◽  
Site Water

Abstract Water demand measurements have historically been conducted manually, from meter readings less than once per month. Leading water service providers have begun to deploy smart meters to collect high-resolution data. A low-cost flush counter was developed and connected to a real-time monitoring platform for 119 ultra-low flush toilets in 7 buildings on a university campus to explore how building users influence water demand. Toilet use followed a typical weekly pattern in which weekday use was 92% ± 4 higher than weekend use. Toilet demand was higher during term time and showed a strong, positive relationship with the number of building occupants. Mixed-use buildings tended to have greater variation in toilet use between term time and holidays than office-use buildings. The findings suggest that the flush sensor methodology is a reliable method for further consideration. Supplementary data from the study's datasets will enable practitioners to use captured data for (i) forecast models to inform water resource plans; (ii) alarm systems to automate maintenance scheduling; (iii) dynamic cleaning schedules; (iv) monitoring of building usage rates; (v) design of smart rainwater harvesting to meet demand from real-time data; and (vi) exploring dynamic water pricing models, to incentivise optimal on-site water storage strategies.

scholarly journals Desenvolvimento de material didático para uso em aulas práticas de metrologia industrial

2018 ◽  
Vol 1 (39) ◽  
pp. 46
Author(s):  
Fabio Luis Nardin ◽  
Fabricio Tadeu Paziani ◽  
Flavio Yuko Watanabe ◽  
Rafael Vidal Aroca
Keyword(s):  
High Resolution ◽  
Mechanical Engineering ◽  
Low Cost ◽  
High Accuracy ◽  
Manufacturing Processes ◽  
Universal Measuring ◽  
Linear Measuring ◽  
Constructive Process ◽  
Measuring Machine ◽  
Design And Construction

<p>In the current economic scenario of the Brazilian federal universities, it is a great challenge to acquire high resolution and high accuracy equipment for use in metrology practical classes. As an alternative, it is common the development of projects aiming the design and construction of low-cost courseware equipment. They are built within extension activities involving graduation students. This paper reports the development of two pieces of equipment for use in practical classes of the discipline “Principles of Industrial Metrology”, of the Mechanical Engineering course at the Federal University of São Carlos (UFSCar). The activity was supported by the Extension Office (ProEx) and had, as a premise, the use of low-cost materials and manufacturing processes. Within the proposed scope, a universal measuring table and a linear measuring machine were developed. The constructive process allowed to verify that the exercise of simple practices is a motivating experience for the student who was directly involved in the activity and for the students who use the produced equipment.</p>

scholarly journals The Open Polarimeter: A High-Resolution Instrument Made from Inexpensive Optomechanical Parts

2020 ◽  
Author(s):  
Andrew Harvie ◽  
John de Mello
Keyword(s):  
High Resolution ◽  
Low Cost ◽  
Source Code ◽  
High Accuracy ◽  
Optical Systems ◽  
3D Printer ◽  
Milling Machine ◽  
Open Hardware

The Open Polarimeter (“Opol”) is a phase-based, high-resolution laser polarimeter formed from a small number of inexpensive optomechanical parts. The complete instrument can be assembled from scratch in two days for less than US$250, using only a 3D-printer and a benchtop milling machine. However despite its low cost Opol achieves a high accuracy of a few millidegrees, comparable to far costlier commercial instruments. It is released here as open hardware, with technical diagrams, a full parts list, and source-code for its firmware included as Supporting Information. Beyond polarimetry, Opol’s easy-to-build and versatile optical mounting system is likely to prove useful for a wide variety of optical systems.

Infraestructuras de bajo costo para la visualización de datos a gran escala y resolución, una opción accesible para instituciones educativas / Low cost infrastructure for large scale and high resolution data visualization, a viable option to educational

2014 ◽  
Vol 3 (5) ◽  
pp. 1
Author(s):  
Jesús Alberto Verduzco Ramírez ◽  
Nicandro Farías Mendoza ◽  
Gilberto René Martínez Bonilla ◽  
Pedro Rocha Medrano ◽  
María Isabel Sáenz Rodríguez
Keyword(s):  
High Resolution ◽  
Data Visualization ◽  
Large Scale ◽  
Low Cost ◽  
Viable Option ◽  
High Resolution Data ◽  
Resolution Data

La necesidad de disponer de superficies de visualización gráfica de datos de mayor tamaño y resolución que aquellas proporcionadas por el monitor se hace evidente al utilizar aplicaciones que generan cantidades significativas de datos gráficos como: la visualización científica, los entornos de la realidad virtual y aumentada, el diseño en ingeniería, el análisis de gráficas en finanzas, etcétera.

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