remote sensing can be used as a powerful tool by using data from different sources and combine them for vegetation and land cover classification. pasture type classification provides key information for analysis of agricultural productivity, carbon accounting and biodiversity. the first data set that used in this study landsat tm (thematic mapper) optical image and the second envisat asar radar...

We address the problem of adaptive waveform design for extended target recognition in cognitive radar networks. A closed-loop active target recognition radar system is extended to the case of a centralized cognitive radar network, in which a generalized likelihood ratio (GLR) based sequential hypothesis testing (SHT) framework is employed. Using Doppler velocities measured by multiple radars, t...

A linear array radar can be operated as a multiple-input multiple-output (MIMO) radar or a directed beam radar. A MIMO radar transmits orthogonal waveforms on each array element, which can achieve virtual aperture extension. Compared to a directed beam radar, MIMO radar requires longer integration times to maintain the same energy on target. This results in narrower Doppler bins but increased r...

This paper presents an approach that how to locate and to detect obstacle or hurdles or the human being or any living being, using synthetic aperture radar (SAR). The paper consist of the acknowledgement of idea how to trace the any moving object on earth level or above the earth level bye using GMTI(Ground Moving Target Indicator) or synthetic aperture radar SAR. It is demonstrated that SAR pr...

In this paper, through wall moving target tracking by M-sequence UWB radar is described. For that purpose, the imaging method consists of radar signal processing phases such as raw radar data preprocessing, background subtraction, data fusion obtained by receiving antennas of radar, detection, localization and tracking itself, is used. Our paper is focused on last phase tracking. Here, new nonl...

■ Lincoln Laboratory is investigating the detection, discrimination, and classification of ground targets in high-resolution, fully polarimetric, syntheticaperture radar (SAR) imagery. This paper summarizes our work in SAR automatic target recognition by discussing the prescreening, discrimination, and classification algorithms we have developed; data from 5 km of clutter and 339 targets were u...

Synthetic aperture radar offers high resolution images of a static scene while moving objects are often smeared and displaced in azimuth. Ground moving target indication with a monopulse system makes it possible to correct the azimuth displacement and measure an accurate individual radial velocity component of moving targets via special processing techniques. The presented method requires the f...

This workshop aims to explain and debate how new computing techniques can open opportunities to develop innovative radar processing techniques. GPU computing applied to radar signal generation has shown that it is possible to simulate, in quite real time, a dynamic sea with ships in motion. Concerning target simulation, the use of a dynamic sea surface is a way to simulate realistic motions and...