background: the main threats to human health from heavy metals are associated with exposure to plumb (pb), cadmium, mercury, and arsenic. some hazards that threat human health are the results of environmental factors and the relevant pollutions. some important categories of diseases including (cancers) have considerable differences in various places, as observed in their spatial prevalence and ...

by producing undistorted three-dimensional images of the area under examination, cone-beam computed tomography (cbct) systems have met many of the limitations of conventional radiography. these systems produce images with small field of view at low radiation doses with adequate spatial resolution that are suitable for many applications in endodontics from diagnosis to treatment and follow-up. t...

China is planning to launch more and more optical remote-sensing satellites with high spatial resolution and multistep gains. Field calibration, the current operational method of satellite in-flight radiometric calibration, still does not have enough capacity to meet these demands. Gaofen-1 (GF-1), as the first satellite of the Chinese High-resolution Earth Observation System, has been speciall...

Automatic building extraction from high resolution satellite imagery is considered as an important field of research in remote sensing and machine vision. Many algorithms for extraction of buildings from satellite images have been presented so far. These algorithms mainly have considered radiometric, geometric, edge detection and shadow criteria approaches to perform the building extraction. In...

This paper proposes a multi-level max-margin discriminative analysis (MDA) framework, which takes both coarse and fine semantics into consideration, for the annotation of high-resolution satellite images. In order to generate more discriminative topic-level features, the MDA uses the maximum entropy discrimination latent Dirichlet Allocation (MedLDA) model. Moreover, for improving the spatial c...

Compared with the middle and low resolution satellite images, the high resolution satellite images have richer spatial but less spectral information. When these images are applied in classification and land cover-use extraction, previous study has already shown that the conventional pixel-based statistical methods can not obtain very satisfying result. To solve the problem, the paper try to int...

Until now, visual photo-interpretation techniques combined to ground survey remains the most used method to locate and characterize landslides. New perspectives in using remote sensing for landslides location are now offered by the availability of new very high spatial resolution images and by the development of object-oriented image analysis. In this context, the aim of this paper is to propos...

In this paper, a Zernike moments-based descriptor is used as a measure of shape information for the detection of buildings from Very High Spatial Resolution (VHSR) satellite images. The proposed approach comprises three steps. First, the image is segmented into homogeneous objects based on the spectral and spatial information. MeanShift segmentation method is used for this end. Second, a Zernik...