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The problem of classifying spatially distributed targets using their radar images during the process of remote sensing has been and remains one of the main tasks when observing the Earth with space-based observation means based on the use of a synthetic aperture radar (SAR). The applying of radar monitoring means is especially relevant for the northern latitudes, for example, the territory of Russia, where, on the one hand, a rather high percentage of cloud cover, on the other hand, the duration of daylight hours ...

One of the most pressing problems arising during the monitoring of the Earth's surface by space means of observation equipped with synthetic aperture radars is the task of increasing the efficiency of the observation means. A quantitative indicator of the named effectiveness is the probability of the correct detection of spatially distributed targets, as well as the signal-to-noise ratio. In a large number of practical situations, the coherent summation of pulses reflected from the target during the entire time of...

The application of ultrawideband signals and large apertures provides a high detailed radar image, where a vast majority of terrain objects may be considered as spatially distributed. The examples of such spatially distributed targets are different types of agricultures, forests, infrastructural objects, which could be recognized against the background of vegetation or bare soils. Another example of a spatially distributed target are ships and glaciers against the background of the water surface. The main purpose ...

A problem of presence or absence small changes determining on the reflecting surface during the observation session is often occurring while solving many problems of space monitoring. Examples of such problems are the ice situation forecasting, emergencies forecasting and detecting (i.e., fires, floods, landslides, mudflows, etc.), detection of forest areas unauthorized logging, forecasts of agricultural yields, analysis the sea surfaces, and many others. For reliable detection in reviewed situations, they recomme...

The key objective of modern vision systems is the problem of a signal class determining since the signal features are completely determined by the type of underlying surface relative to which the observation is made. In spite of the fact that at present there are a huge number of analytic methods for the solving the indicated problem, in the vast majority of tasks based on natural images, capacities of solving it are characterized by the probabilities of erroneous and proper decisions. The exact analytic probabili...