Corridor Monitoring Research Articles

Rerouting Framework for Sustainable Management in Elephant Conservation

Human-Elephant Conflict (HEC) has been identified as one of the major threats to wild elephants throughouttheirrange in thirteen countries,including Malaysia. With development encroaching onthe elephant’s natural territories, the number of HEC cases has increased. The aim of this study is to focus on developing a framework for elephant rerouting and causewaysusing geomatics technology and 3D geo-visualizationas a strategy to conserve elephantsin a sustainable wayfor Taman Negara Rompin.The framework wasused to propose alternative pathwaysbased on rational model. As a result of the framework, four main elementsstrongly highlighted in the rerouting framework are elephant diet’s sources, tracking trails, fencing and deterrents,and the corridor monitoring. These elements are important for rerouting and causeway of the elephant. With the integration of geographical information system,the knowledgeneeded toprotect elephants from HECcan be enhanced.

Examining the Significance of the Luzon W-growth Corridor to Agricultural Agglomeration and Labor Productivity

Abstract Economic corridors are transport routes that form a strategic access network for economic hubs to reinforce regional growth. Transport corridors ensure the decisive movement of people and goods. The Philippines made its initial corridor development efforts aimed at prioritizing local industries and trade activity within its geographical confines. The W-Growth corridor (LWGC) on the island of Luzon passes through the provinces in Central Luzon and extends to the CALABARZON region. This research established the significance of the institutionalization of LWGC on agricultural agglomeration and labor productivity by applying particular measurements for corridor utilization and effects. Annual data on production sectors per region were utilized for corridor monitoring and agriculture productivity were utilized for corridor evaluation. The structural form of the proposed economic models apprised endogeneity bias, so the Two-Stage Least Square procedure was applied. This procedure revealed non-incidence of regional agriculture agglomeration, but that competition for agriculture labor is evident. Trade activity was also found to boost both output and labor productivity in agriculture. Keywords: transport corridor, institutionalization, agglomeration, labor productivity in agriculture

基于复合式无人机的输电通道监测与图像分类

基于复合式无人机的输电通道监测与图像分类

Remote sensing of river corridors: A review of current trends and future directions

AbstractRiver corridors play a crucial environmental, economic, and societal role yet also represent one of the world's most dangerous natural hazards, making monitoring imperative to improve our understanding and to protect people. Remote sensing offers a rapidly growing suite of methods by which river corridor monitoring can be performed efficiently, at a range of scales and in difficult environmental conditions. This paper aims to evaluate the current state and assess the potential future of river corridor monitoring, whilst highlighting areas that require further investigation. We initially review established methods that are used to undertake river corridor monitoring, framed by the context and scales upon which they are applied. Subsequently, we review cutting edge technologies that are being developed and focussed around unmanned aerial vehicle and multisensor system advances. We also “horizon scan” for future methods that may become increasingly prominent in research and management, citing examples from within and outside of the fluvial domain. Through review of the literature, it has become apparent that the main gap in fluvial remote sensing lies in the trade‐off between resolution and scales. However, prioritising process measurements and simultaneous multisensor data collection is likely to offer a bigger advance in understanding than purely from better surveying methods alone. Challenges regarding the legal deployment of more complex systems, as well as effectively disseminating data into the science community, are amongst those that we propose need addressing. However, the plethora of methods currently available means that researchers and monitoring agencies will be able to identify suitable techniques for their needs.

Design of Underground Integrated Corridor Monitoring System in Yude Road, Liupanshui City

At present, there is limited experience in the construction of environmental monitoring system for urban underground integrated corridors. In order to meet the needs of corridor environment risk management, a comprehensive road condition management system of Liupanshui Yude road was designed. The system hardware system which combines the system workstation with the data transmission module is established, and a software system platform based on environmental monitoring, compression coding, encapsulation and wireless module is designed. A real-time monitoring system for environmental risk sources is established, which integrates environmental monitoring data, and provides a reference for the design of engineering environment and equipment monitoring system.

Research on the Development of Intelligent Management System for Urban Underground Corridor Based on Cloud Computing

At present, there are many problems such as low reliability and poor interaction in the city comprehensive corridor monitoring system. In order to solve these problems, an integrated corridor management system based on cloud computing technology is put forward. The system hardware architecture is based on the Internet of Things technology, which consists of three layers: field equipment layer, network layer and monitoring center. The software architecture is divided into corridor integrated monitoring system, corridor pipeline management system, operation and maintenance management system and emergency management system, and each subsystem is integrated with service-oriented programming. In addition, the system establishes a unified access portal. Through the desktop computers and intelligent terminals, users can achieve the monitoring of the operation of the integrated corridor.

Research on Transmission Line Corridors Moving Target Video Detection Device

The utility model provides a transmission line corridors video moving target detection apparatus for transmission line corridors fireworks warning judge, vehicle intrusion detection, construction machinery construction early warning detection and fires. Including: video detection module, embedded modules, communication modules and power supply modules. Video detection module will monitor video information transmitted via the communication module to the analysis and processing ARM-based embedded module, embedded module after the results after the data were processed packaged, transmitted to the communication module, is sent to the control center via 3G wireless communication network master. The utility model is the role: a moving target for the transmission line corridor monitoring, eliminating the presence of various risks and improve the operation and management level and intelligence transmission lines.

Toward automated power line corridor monitoring using advanced aircraft control and multisource feature fusion

AbstractThe conventional manual power line corridor inspection processes that are used by most energy utilities are labor intensive, time consuming, and expensive. Remote sensing technologies represent an attractive and cost‐effective alternative approach to these monitoring activities. This paper presents a comprehensive investigation into automated remote sensing–based power line corridor monitoring, focusing on recent innovations in the area of increased automation of fixed‐wing platforms for aerial data collection and automated data processing for object recognition using a feature fusion process. Airborne automation is achieved by using a novel approach that provides improved lateral control for tracking corridors and automatic real‐time dynamic turning for flying between corridor segments; we call this approach PTAGS (Power line Tracking Automatic Guidance System). Improved object recognition is achieved by fusing information from multisensor (LiDAR and imagery) data and multiple visual feature descriptors (color and texture). The results from our experiments and field survey illustrate the effectiveness of the proposed aircraft control and feature fusion approaches. © 2011 Wiley Periodicals, Inc.

Spectral–texture feature extraction using statistical moments with application to object-based vegetation species classification

The use of appropriate features to characterise an output class or object is critical for all classification problems. In order to find optimal feature descriptors for vegetation species classification in a power line corridor monitoring application, this article evaluates the capability of several spectral and texture features. A new idea of spectral–texture feature descriptor is proposed by incorporating spectral vegetation indices in statistical moment features. The proposed method is evaluated against several classic texture feature descriptors. Object-based classification method is used and a support vector machine is employed as the benchmark classifier. Individual tree crowns are first detected and segmented from aerial images and different feature vectors are extracted to represent each tree crown. The experimental results showed that the proposed spectral moment features outperform or can at least compare with the state-of-the-art texture descriptors in terms of classification accuracy. A comprehensive quantitative evaluation using receiver operating characteristic space analysis further demonstrates the strength of the proposed feature descriptors.

A Biologically Inspired Object Spectral-Texture Descriptor and Its Application to Vegetation Classification in Power-Line Corridors

The use of appropriate features to represent an output class or object is critical for all classification problems. In this letter, we propose a biologically inspired object descriptor to represent the spectral-texture patterns of images or objects. The proposed feature descriptor is generated from the pulse spectral frequencies (PSFs) of a pulse-coupled neural network, which is invariant to rotation, translation, and small scale changes. The proposed method is first evaluated in a rotation- and scale-invariant texture classification using the University of Southern California Signal and Image Processing Institute texture database. It is further evaluated in an application of vegetation species classification in power-line corridor monitoring using airborne multispectral aerial imagery. The results from the two experiments demonstrate that the PSF feature is effective in representing the spectral-texture patterns of objects, and it shows better results than classic color histogram and texture features.

A comparative evaluation of video remote sensing and field survey for revegetation monitoring of a pipeline route

At present, restoration monitoring of pipeline routes is based mainly on field sampling. The `integrated mapping' approach has received only limited attention from the field ecologist. The reason for this could be the largely undemonstrated value of video for the field ecologist as a monitoring tool for a corridor target, the complexity of analysing the video and the lack of research on comparative evaluation of video surveys with the field approach. An exhaustive and realistic comparison of the two techniques was conducted, based on time-lapse video data and field survey data. Both techniques have been investigated for a variety of aspects: synoptic information, ground detail and information adequacy for customer requirement. The video imagery was able to isolate the major plant communities of a narrow pipeline corridor with reliable spatial precision. Although field surveys have already gained worldwide recognition by plant ecologists as a typical method of pipeline corridor monitoring, this approach did not provide a level of information that is either scientifically reliable or economically feasible in terms of corridor site management (e.g. remedial field works). In conclusion, it is suggested that an integrated mapping approach, using aerial video in combination with supplementary ground data, can meet the requirements for monitoring revegetation of a pipeline route.