In this work, spectral estimation techniques are used to exploit baseline diversity of a multichannel interferometric synthetic aperture radar (SAR) system and overcome the layover problem. This problem arises when different height contributions collapse in same range-azimuth resolution cell, due presence strong terrain slopes or discontinuities sensed scene. We propose multilook approach counteract multiplicative noise, which is extended nature natural targets; purpose we extend RELAX...

Abstract. With the onset of new satellite radar constellations (e.g. Sentinel-1) and advances in computational science grid computing) enabling supply processing multi-mission data at a temporal frequency that is compatible with real-time flood forecasting requirements, this study presents concept for sequential assimilation Synthetic Aperture Radar (SAR)-derived water stages into coupled hydrologic-hydraulic models. The proposed methodology consists adjusting storages fluxes simulated by...

Abstract. Satellite-based active microwave sensors not only provide synoptic overviews of flooded areas, but also offer an effective way to estimate spatially distributed river water levels. If rapidly produced and processed, these data can be used for updating hydraulic models in near real-time. The usefulness such approaches with real event sets provided by currently existing has yet demonstrated. In this case study, a Particle Filter-based assimilation scheme is integrate ERS-2 SAR...

In recent years, there has been great interest in exploiting the advanced multibaseline operation of synthetic aperture radar interferometry (InSAR) for solving layover effects from complex orography, which can degrade both SAR and InSAR imagery terrain reflectivity height. this work, problem retrieving areas is addressed. It formulated as estimating a multicomponent sinusoidal signal corrupted by multiplicative correlated noise additive white Gaussian noise. Application nonparametric [e.g.,...

Abstract. Two of the most relevant components any flood forecasting system, namely rainfall-runoff and inundation models, increasingly benefit from availability spatially distributed Earth Observation data. With advent microwave remote sensing instruments their all weather capabilities, new opportunities have emerged over past decade for improved hydrologic hydraulic model calibration validation. However, usefulness observations in coupled models still requires further investigations. Radar...

For pt. I see ibid., vol. 38, no. 4, p. 1295 (2002). In this second part we deal with the problem of detecting subspace random signals against correlated non-Gaussian clutter modeled by compound-Gaussian distribution. first paper, derived optimum Neyman-Pearson (NP) detector, generalized likelihood ratio test (GLRT), and a constant false-alarm rate (CFAR) detector; also provided some interesting interpretations them. part, these detectors are tested both simulated data measured high...

Signal detection of known (within a complex scaling) rank one waveforms in non-Gaussian distributed clutter has received considerable attention. We expand on published solutions to consider the case that have some unknown parameters, i.e., signal amplitude, initial phase, Doppler shift, and rate change. The contribution this paper is derivation performance analysis two joint estimators shift rate-the chirp embedded correlated compound-Gaussian clutter. One solution based maximum likelihood...

The process of contact tracing to reduce the spread highly infectious and life-threatening diseases has traditionally been a primarily manual managed by public health entities. This becomes challenged when faced with pandemic proportions SARS-CoV2. Digital proposed as way augment lends itself widely proliferated devices such cell phones wearables. paper describes method analysis determining whether two phones, carried humans, were in persistent no more than 6 feet over 15 minutes using...

Interference from the proliferation of wind turbines is becoming a problem for ground-based medium-to-high pulse repetition frequency (PRF) pulsed-Doppler air surveillance radars. This paper demonstrates that randomizing some parameters transmit waveform to pulse, filter can be designed suppress both turbine interference and ground clutter. Furthermore, single coherent processing interval (CPI) sufficient make an unambiguous range measurement. Therefore, multiple CPIs are not needed...

Abstract. With the onset of new satellite radar constellations (e.g. Sentinel-1) and advances in computational science grid computing) enabling supply processing multi-mission data at a temporal frequency that is compatible with real-time flood forecasting requirements, this study presents concept for sequential assimilation Synthetic Aperture Radar (SAR)-derived water stages into coupled hydrologic-hydraulic models. The proposed methodology consists adjusting storages fluxes simulated by...

Abstract. Satellite-based active microwave sensors not only provide synoptic overviews of flooded areas, but also offer an effective way to estimate spatially distributed river water levels. If rapidly produced and processed, these data can be used for updating hydraulic models in near real-time. The usefulness such approaches with real event sets provided by currently existing has yet demonstrated. In this case study, a Particle Filter-based assimilation scheme is integrate ERS-2 SAR...

This paper presents a processing concept for autonomous underwater vehicle (AUV)-based concurrent detection and classification (CDAC) of mine-like objects. In the phase, AUV seeks objects interest using simple energy detector combined with peak tracking mechanism. Upon detection, mechanism changes to higher order spectral (HOS) process. The system is demonstrated through theory, simulation at-sea experiments have promise in reducing false alarm rate mine detections. HOS also shown some...

Abstract. Two of the most relevant components any flood forecasting system, namely rainfall-runoff and inundation models, increasingly benefit from availability spatially distributed Earth Observation data. With advent microwave remote sensing instruments their all weather capabilities, new opportunities have emerged over past decade for improved hydrologic hydraulic model calibration validation. However, usefulness observations in coupled models still requires further investigations. Radar...

Autonomous underwater vehicles (AUV) are rapidly being transitioned into operational systems for national defense, offshore exploration, and ocean science. AUVs provide excellent sensor platform control, allowing for, e.g., accurate acoustic mapping of seabeds not easily reached by conventional platforms, such as the deep ocean. However, full potential robotic platforms is far from exhausted applications. Thus, example, most seabed-mapping applications use imaging sonar technology, data...

In the joint MIT/SACLANTCEN Generic Oceanographic Array Technology Sonar (GOATS) project, future missions are envisioned that employ one or more autonomous underwater vehicles (AUVs) for automated target detection and classification. The classification of buried mines after is important reducing false alarm rate mine hunting sonar system. Buried pursued in this paper by employing higher-order spectral analysis. Due to nature target, it expected there will be at least elastic response...

Buried target detection and classification is of significant interest to the underwater mine countermeasures (MCM) community. In order penetrate seafloor, low frequency sources are required. For adequate temporal (cross-range) resolution, a wideband source necessary. this regime, different scattering mechanisms behave as strong function frequency. elastic targets, such mines, exhibit modal behavior, generating responses delayed in time occupying only fraction full band. There also much more...