The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper addresses the problem of change detection (CD) in very high geometrical resolution (VHR) multitemporal images. In this context, we propose a general conceptual framework that aims at giving: i) a taxonomy of different radiometric changes occurring when dealing with VHR remote sensing images; and ii) a global approach to the definition of the architecture of effective CD methods for VHR...
The following topics are dealt with: nonlinear systems; learning systems, neural networks; fuzzy system; fuzzy control; sliding mode control; control system; adaptive control; data mining; software architecture; wireless sensor networks; e-learning; protocols; image processing; video processing; MIMO systems; robotics; wind generators; mobile devices; mobile robots; XML; power supply; energy consumption;...
Aiming at the cultural relic exhibition problem in virtual museum, the tactile rendering technology for epigraph and inscription exhibition is suggested. With the tactile display technology, one can not only see the real relic, hear explication, but also touch the cultural relic with his finger when he explores the virtual museum. The principle of the virtual tactile rendering system is illustrated,...
The concept and range of spatial information are gradually expanding to various fields through fusion in a point of time when a ubiquitous environment is rapidly developing. Thus, a prototype for construction of a real-time spatial information management system has been developed by integrating a human movement sensing system into a SICS(Spatial Information Control System) engine that can integrally...
Imaging systems, particularly those on board satellites, provide a repetitive and consistent view of the earth that has been used in many remote sensing applications such as urban growth, deforestation and crop monitoring, weather prediction, land use mapping, land cover mapping and so on. For each application it is necessary to develop a specific methodology to extract information from the image...
In this paper, a robust and efficient approach for multicamera human tracking is presented. The approach is integrated in an experimental surveillance system, based on a camera network with a task-oriented architecture. At sensor level, image processing algorithms are applied for object detection and feature extraction. Additionally, for each object that is to be tracked, an agent-based multi-sensor...
In the ubiquitous computing environment, image processing system will play an increasingly more significant role in ensuring safety of industrial sites in the future. In step with the advancements of image processing technologies, surveillance monitoring system and automation system are under the spotlight as key elements in industrial sites and leveraging intelligent ubiquitous systems effectively...
Dissolved Oxygen (DO) is one of the most important parameters describing biochemical process in wastewater treatment. It is usually measured with dissolved oxygen meters, and currently galvanic and polarographic electrodes are the predominant methods. Expensive, membrane surface inactivation, and especially need of cleaning and calibrating very frequently are common disadvantages of electrode-type...
Hyperspectral imaging (HSI) is a powerful tool for various remote sensing tasks including agricultural modeling and landmine/ unexploded ordnance clearance. Although the application of standard supervised learning techniques to HSI data has previously been explored, several aspects of hyperspectral data collection and ground truth labeling make some of the assumptions underlying standard machine learning...
The Ground Control Points (Ground Control Points, GCPs) is an important baseline data of Remote Sensing Image correction. The quantity, distribution and accuracy of GCPs play an important role in correcting Remote Sensing Image. There are many Human factors may influence the quantity, distribution and accuracy of selected GCPs. To achieve scientific selection of GCPs we should define the concept of...
The increasing availability of remote-sensing images, acquired periodically by satellite sensors on the same geographical area, makes it extremely interesting to develop monitoring systems capable of automatically producing and regularly updating forest-cover maps of the considered site. In this paper, we designed and developed new object-based change detection algorithms, which are aimed at updating...
We address the problem of tracking points in dense vector fields. Such vector fields may come from computational fluid dynamics simulations, environmental monitoring sensors, or dense point tracking of video data. To track points in vector fields, we capture the distribution of higher-order properties (e.g., properties derived from the gradient of the velocity vector field) in a novel local descriptor...
The following topics are dealt with: industrial electronics; adaptive control; intelligent control; robust control; intelligent automation; genetic algorithm; network protocols; switch converters; power quality control; image processing; estimation and identification; sensors; actuators; fault diagnosis and prognosis; biomedical electronics; data processing; nonlinear systems and control; pattern...
It is well-known that remote sensing technology has played a very important role in the urban planning and management since 1980s. In the past thirty years, as one of spatial data sources, remote sensing datasets, which contain more information of earth surface as compared with usual urban maps, have been used in urban planning and management in China. With the development of remote sensing technology...
Seam tracking performance of an arc welding system is crucial to achieve high-quality welds. Visual sensing is one of the most attractive approaches to detect the seam position in the welding process, which provides valuable information to control the arc following the expected path. However, it is difficult to accurately detect the seam position adjacent to weld pool due to strong light disturbance...
We consider a sensor network placement problem where the sensing range of a sensor depends on its location in order to model the effect of terrain features. We study how sensors should be placed in order to maximize the coverage and illustrate how digital halftoning algorithms from the field of image processing can be useful in this respect. In particular, we reduce the sensor placement problem to...
A number of satellite image sources on meteorology and environment are available over the Gulf of Mexico (GOM). Those satellite images are taken periodically in order to observe the weather changes. However, users usually face several problems when they want to search, retrieve, and combine images from multiple data sources. Without an adequate system and personnel for managing data, the magnitude...
The following topics are dealt with: biomedical signal and image processing; biomedical imaging; biomedical instrumentation and sensors; biomechanics and rehabilitation engineering; human-machine interface technologies; biometrics; bioinformatics; clinical engineering; hospital design; healthcare information technology; data mining and data visualization; simulation of biological systems; telemedicine;...
Consider data collected by two types of sensors with disparate capabilities. A technique is presented for constructing a high quality image from an image measured by a low quality sensor, given training sets of high quality and low quality images of related scenes. The method involves calculation of a non-linear transformation using the training data. The transformation is then applied to the low...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.