In this paper a new approach for band selection is introduced based on statistical and geometrical characteristics of images, where the basic idea to measure spread image data in each then clustering bands such way keep intracluster variance minimum intercluster maximum. For optimal number be selected, recently developed concept virtual dimensionality (VD) used. endmember extraction, vertex component analysis (VCA) A comparative study conducted show effectiveness with other unsupervised methods.

A band clustering and selection approach based on a hyperspectral measure, spectral information divergence (SID) is presented in this paper. Hyperspectral image data analyzed for target detection. signatures of the targets are used to measure SID. Virtual dimensionality (VD) select optimal number bands. For endmember extraction, vertex component analysis (VCA) used. decision fusion new discriminatory entropy (SDE) proposed. comparative study conducted show effectiveness selection. Decision...

The electromagnetic scattering measurement of a target under test is contaminated by the upper portion metal pylon itself and coupling between pylon. These have impact on recognition inherent characteristics. To reduce eliminate scattering, methods are proposed based scattered field vectors one-dimensional high resolution range profiles. analyzed according to their implementation procedures, respectively. Comparison carried out extraction results using solution isolated target, in which...

In practical radar imagery operations, there are often cases where the radar's operating bandwidth is interrupted, either periodically or randomly. Such interruption produces artifacts in synthetic aperture (SAR) and inverse SAR (ISAR) images, thus severely degrades reconstructed images. As a consequence, novel image processing algorithms required to alleviate for high quality Various SAR/ISAR reconstruction from gapped data have been developed. These include extensions of APES Capon...

Solar radiation will be scattered by atmospheric molecules and aerosol particles when it transfers through the Earth atmosphere. The radiance with different polarization state can used to characterize components. Based on BHU-ATM presented in our previous work, an radiative transfer model considering effects is developed this paper, which parameter discretization method used. To end, equation adapted into Stokes vector form, while impacts of aerosols are represented means scattering phase...

In SAR and inverse (ISAR) imaging, conventional Fourier transform (FT) based image reconstruction techniques result in images with limited resolution. The down-range cross-range resolutions of these algorithms are inversely proportional to the radar signal waveform bandwidth synthetic aperture size, respectively. On other hand, when modem spectral estimation methods applied nonlinear techniques, usually called super resolution algorithms, offer improved resolution, better contrast, reduced...

In the paper a high resolution millimeter wave (mmW) scanning imaging radar is introduced. The principles of two-dimensional (2-D) and image reconstruction algorithm are discussed in detail. Typical experimental results on full-scale large vehicle presented.

An airborne low-cost synthetic aperture radar (SAR) is under development at the University of Nebraska-Lincoln. The SAR system an X-band, stepped-chirp frequency modulation (SCFM) system. One its unique features that waveform generation consists a timing-controlled D/A converter and VCO arrangement to synthesize SCFM signal, whereby allowing for less design complexity much lower overall cost. In this paper, we present brief description some computer simulation results.

A band clustering and selection approach based on standard deviation (STD) orthogonal projection divergence (OPD) is introduced in this paper. STD of Hyperspectral image data calculated. analyzed for multiple target detection. Spectral signatures required are used to measure OPD. Optimal number bands preserving maximum information calculated by using a new developed technique, virtual dimensionality (VD). For endmember extraction, vertex component analysis (VCA) used. decision fusion also...

Ultra-wideband (UWB) radar has proven to be a very powerful tool for underground and obscured object detection identification. The combination of using low frequencies, such as VHF UHF bands or even lower, UWB waveforms creates wide variety applications (see Davis, M.E. et al., 1999). can linear FM (LFM), step-frequency, random noise, so on. Among these, noise waveform would desirable choice. transmission provides additional advantages in preserving covertness while ensuring extremely fine...

Coherent random noise radar technology has been implemented successfully in buried object detection, Doppler estimation, SAR imaging, and ISAR imaging. These applications verified the desirable characteristics of for stationary target applications. Since system is phase coherent, we have demonstrated that it can be used interferometry. We are currently developing a monopulse angular tracking moving targets real time. This paper provides preliminary analysis compatibility with conventional...

A procedure for synthetic aperture radar (SAR) raw data generation time-variant ocean surface is proposed. The appropriate reflectivity function that takes account of the electromagnetic-ocean wave interaction transformed on to SAR signal based distributed (DS) model. An efficient and accurate simulation algorithm with time-domain integration along range dimension squint adopted. Moreover, ocean's dynamics accounted by means interpolation dispersion relationship waves. Simulation results are...

Brillouin precursors are formed as an ultrawideband pulse propagates in lossy dispersive media. The impact of rough surface on is studied when a modulated rectangular illuminates one-dimensional the medium. Due to interaction between incident wave and surface, time delays signal waveforms distinct at different horizontal locations for specified depth. slighter than carrier waves. also related polarization.

A technique to optimize the excitation current amplitude of a quadrilateral planar array is proposed yield lower peak sidelobe level (PSL). Two kinds arrangement, linear and array, are implemented optimized based on genetic algorithms. Simulation results show that arrangement with divided scanning sub-regions can obtain PSL achieve better characteristics. (4 pages)

To study the impact of target signal amplitude fluctuation on accuracy background extraction, a radar model based eccentric cylinder is established. A method least median squares-hyperaccurate (LMS-Hyper) to extract implemented. The and robustness algorithm are shown by simulation, impacts fluctuation, distance, outliers extraction analyzed.

The paper presents a new algorithm for multiple scattering calculations. By following Knott and Blejer's study, we develop recursive rapid (RRAMS) based on area projection physic optics (PO), combining with reentrant polygon clipping (RPC) method in the context of computer graphics. Some typical computation results IASR images are given. This modeling shows validation comparing measure data.

Aiming at the problem of reliable detection and recognition targets in short-range laser system under complex background strong countermeasure environment, broadening characteristics pulse echo large dynamic change scene are studied, an adaptive time discrimination algorithm is proposed. The uses extracted features to correct delay, then extracts one-dimensional high resolution range profile (HRRP). On this basis, variation law image intensity with different reflection a target anti-jamming...

For outdoor measurements of large-sized targets at higher frequencies, the far-field condition for plane wave illumination is impractical to satisfy in many applications. As a replacement, near-field tests followed by transform (NFFFT) are usually considered. In this paper, an optimized array design proposed synthesize cylindrical wavefront with suppressed clutter test zone. To end, multiple performance synthetic considered systematically. Numerical method exploited optimize excitations form...

Bistatic inverse synthetic aperture radar (ISAR) imaging plays a significant role in observation of space objects. Because the reduction spatial resolution bistatic ISAR images, it is difficult to estimate attitude In this paper, an estimation technique images proposed, which can be achieved by matching few feature points on 3-D model and 2-D image. The effects point spread function (PSF) are analyzed. Based projection relationship from image, iterative optimization procedure for solving...