This paper proposes an efficient technique for human motion recognition based on motion history images and an eigenspace technique. In recent years, human motion recognition has become one of the most popular research fields. It is expected to be applied in a security system, man-machine communication, and so on. In the proposed technique, we use two feature images and the eigenspace technique ...

Abstract Previous studies have documented substantial advancing trends in the onset date of vegetation green-up (VGD) during 1980s and 1990s over Northern Hemisphere, while later based on data from spaceborne advanced very high-resolution radiometer (AVHRR) reported this trend stalled warming hiatus late to early 2010s. However, there is uncertainty finding a VGD advance due identification qual...

Scientists at CSIRO (Australia) engage in a coordinated group of related projects involving land surface reflectance anisotropy. One of the underlying themes of the work is to test/establish the existence of a stable underlying “typology” of BRDF directly attributable to land surface spectral and structural parameters that will allow sensible selections of the “shape functions” used in correcti...

Previous studies have shown that for some populations of marine turtle, individuals move along narrow migration corridors in the open ocean. It has been suggested that these migration corridors may correspond with nearsurface oceanographic features that can be detected by remote sensing. This idea is examined by superimposing the tracks of green turtles (Chelonia mydas) migrating fromAscension ...

The European Space Agency project for studies of cloud properties in the Climate Change Initiative programme (ESA-CLOUD-CCI) aims at compiling the longest possible time series of cloud products from one single multispectral sensor—The five-channel Advanced Very High Resolution Radiometer (AVHRR) instrument. A particular aspect here is to include corresponding products based on other existing (M...

In this paper, we describe a segmentation technique that integrates traditional image processing algorithms with techniques adapted from knowledge discovery in databases (KDD) and data mining to analyze and segment unstructured satellite images of natural scenes. We have divided our segmentation task into three major steps. First, an initial segmentation is achieved using dynamic local threshol...

NOAA/AVHRR infrared satellite imagery is well suited to the study of mesoscale dynamic structures such as vortices or temperatures fronts. Since data are delivered on a daily basis, the problem of model-ing structures in these images is an important matter. We use the spline vector eld technique to compute a dense vector eld on an image such that speciic orbits of the eld correspond to the boun...

[1] Results from a short observational program off central eastern Australia (28.4 S) are presented. A series of events involving sharp temperature fluctuations and strong pulses in the alongshore currents are measured by a mooring array over the inner shelf. With use of AVHRR images, ADCP, and CTD surveys, it is reasoned that these events correspond to the periodic advection of a thermal front...

Due to the effect of aerosols present in the atmosphere on the satellite images, the study of the effect of local aerosols distribution on the satellite images is important. On the other hand, the study shows that the effect of aerosols on the greenhouse gases and consequently on climate is also undeniable and as a result, this puts more emphasize on the necessity of this study. Lack of informa...