We report the results of a demonstration of a real time delay, optically controlled phased array radar receiver. This implementation employed a free space configuration based upon an optical switching network using liquid crystal spatial light modulators (SLM’s). A three-delay unit, two-antenna array receiver was implemented at an optical wavelength of 1.3 pm and demonstrated “squint-free” oper...

At the high resolutions attainable with the new generation space-borne sensors, the focus moves increasingly from spectral characteristics to geometric features. This trend is even more evident for urban areas which tend to show an unpaired concentration of linear features with respect to any other land cover. This naturally applies to both optical and radar images, and suggests one may use loc...

abstract obtaining reliable precipitation observations is important for hydrological simulations and weather forecasting. radar data can provide insight in the spatial variation of precipitation and can also detect large areas of rain and estimate rainfall rates. weather radar systems nearly always operate in s-, c- or x-band. since x-band systems require smaller antennas than those at c- or s-...

Against the range-dependent accuracy of the tracking radar measurements including range, elevation and bearing angles, a new hybrid adaptive Kalman filter is proposed to enhance the performance of the radar aided strapdown inertial navigation system (INS/Radar). This filter involves the concept of residual-based adaptive estimation and adaptive fading Kalman filter and tunes dynamically the fil...

This paper presents recent results in the development of novel ultrafast technologies based on the generation and application of extremely chirped optical pulses. Linearly frequency-swept modelocked optical pulses of ns durations are generated, at the infrared telecommunications wavelength of 1.55 mm, by using chirped fiber Bragg gratings. The swept pulses appear as continuous wave signals, whi...

This paper proposes a detection and classification method for unmanned aerial vehicles, commonly called drones, using sensor fusion schemes. Datasets drone are collected by field measurements of actual drones the optical camera, radar, audio microphone as well obtained from open online databases. In first stage proposed method, conducted convolutional neural network (CNN) models separately trai...

Generation of millimeter-wave electronic signals and power is required for highfrequency communication links, RADAR, remote sensing and other applications. However, in the 30 to 300 GHz mm-wave regime, signal sources are bulky and inefficient. All-optical generation of mm-wave signals promises to improve efficiency to as much as 30 to 50 percent with output power as high as 100 mW. All of this ...

A method is presented to obtain underwater topography for coastal areas using state-of-the-art remote sensing data and techniques worldwide. Synthetic Aperture Radar (SAR) data from the new German satellite TerraSAR-X with high resolution up to 1m are used to render ocean waves. As in shallow areas, bathymetry is reflected by long swell wave refraction governed by underwater seabed structures, ...

Invisibility by metamaterials is of great interest, where optical properties are manipulated in the real permittivity-permeability plane. However, the most effective approach to achieving invisibility in various military applications is to absorb the electromagnetic waves emitted from radar to minimize the corresponding reflection and scattering, such that no signal gets bounced back. Here, we ...

In this paper, we present an in-depth analysis of the use convolutional neural networks (CNN), a deep learning method widely applied in remote sensing-based studies recent years, for burned area (BA) mapping combining radar and optical datasets acquired by Sentinel-1 Sentinel-2 on-board sensors, respectively. Combining active passive into seamless wall-to-wall cloud cover independent algorithm ...