A triggered lightning flash (TLF) provides a unique perspective on the relationship between spatiotemporal proximity flashes, owing to its determined location and time, convenient direction measurement, explicit association with charge region. In this study, 3-D location, current atmospheric average electric field (AAEF) data were used investigate of TLFs (68 samples in South China) adjacent na...

Because of its important role in health policy-shaping, population monitoring (PHM) is considered a fundamental block for public services. However, traditional data collection approaches, such as clinic-visit-based integration or surveys, could be very costly and time-consuming. To address this challenge, article proposes cost-effective approach called Compressive Population Health (CPH), where...

With desktop imaging devices becoming ubiquitous, effectively managing the images in large collections has become a challenge. The requirements for a modern imaging system now demand not only efficient storage (low bit rate coding), but also easy manipulation, indexing and retrieval of images. In this paper, we introduce a new method for colour image coding based on a visual appearance model of...

What to expect, when planning to use Sentinel-2 datasets in unsupervised classification? This is a very actual question, since Copernicus Sentinel-2 data has been available since November 2015, but due to the winter period conditions, wide use has been obstacled, user experiences are missing. In a European Space Agency (ESA) financed feasibility study we needed to simulate 2015 Sentinel-2 data ...

When processing image sequences some representation of image motion must be derived as a first stage. The most often used representation is the optical flow field, which is a set of velocity measurements of image patterns. It is well known that it is very difficult to estimate accurate optical flow at locations in an image which correspond to scene discontinuities. What is less well known, howe...

In recent years many methods providing the ability to recognize rigid obstacles sedans and trucks have been developed. These methods provide the driver with relevant information. They are able to cope reliably with scenarios on motorways. Nevertheless, not much attention has been given to image processing approaches to increase the safety of pedestrians in urban environments. In this paper a me...

This paper presents a new method for dynamic texture recognition based on spatiotemporal Gabor filters. Dynamic textures have emerged as a new field of investigation that extends the concept of self-similarity of texture image to the spatiotemporal domain. To model a dynamic texture, we convolve the sequence of images to a bank of spatiotemporal Gabor filters. For each response, a feature vecto...

Error growth in spatiotemporal chaotic systems is investigated by analyzing the interplay between temporal and spatial dynamics. The spatial correlation and localization of relative fluctuations grow and decay indicating two different regimes, before and after saturation by nonlinear effects. This general behavior is shown to hold both in simple coupled map lattices and in global weather models...