With improved spatial resolution of available satellite images and the ability to collect the stereo images within a short time period, the importance of satellite images for generating elevation information has grown. Most of the users try to use satellite images because of the reasonable time and cost for ordering. The speed of information generation by satellite sensors from planning to exec...

Since satellite and aerial imageries are recently widely spread and frequently observed, combination of them are expected to complement spatial and temporal resolution each other. One of the prospective applications is traffic monitoring, where objects of interest, or vehicles, need to be recognized automatically. Techniques that employ object detection before object recognition can save a comp...

Because the cartography is often deficient, the use of satellite images is the best way to know the land use of Africa. But to extract a reliable map from these raw data is not an easy task. The aim of this study was to find a method to map the main landscape units, a method which can be easily reproducible. Satellite images were chosen according to the agricultural calendar, among those freely...

From the immense amount of images being sent to Earth by satellites, it takes too much time for a human to go through each image and classify what the image represents. Therefore, we are able to use classifiers to classify these images. In this paper, we used two different classification methods to classify satellite images. Between the two classifiers we used, both K-Nearest-Neighbor and Suppo...

polarimetric synthetic aperture radar (pol.-sar) allows us to implement the recognition and classification of radar targets. this article investigates the arrangement of scatterers by sar data and proposes a new look-up table of region (ltr). this look-up table is based on the combination of (entropy h/anisotropy a) and (anisotropy a/scattering mechanism α), which has not been reported up now. ...

As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...