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This paper presents a new algorithm for recognizing patterns of densely arrayed targets in high resolution (HR) SAR images, serving the increasing demand for target detection and recognition in HR/VHR SAR images. The novelty of our work is to formulate the problem of pattern extarction as a jigsaw puzzle with similar target patches. Compared to existing work, our algorithm has multiple advantages,...
In this paper, we present an image processing chain that can interpret high resolution synthetic aperture radar (SAR) imagery for building layover characterization and extraction in urban areas. It is composed of three main parts — generation of hint areas, generation of superpixels, and optimized cut of layovers via superpixel merging. The proposed framework is complete, and flexibly integrates necessary...
In this paper, we present a one-class-extraction framework for high resolution Synthetic Aperture Radar (SAR) image classification. The experiment on a TerraSAR-X SAR image shows that the proposed framework provides a promising solution for SAR image classification.
A virtual array concept is proposed to get supper-resolution in synthetic aperture radar imagery. Two kinds of virtual arrays called virtual frequency array and virtual azimuth array are constructed, combining with phased array signal processing methods, to bring out better imaging performance than traditional range-Doppler and reciprocal spectrum algorithms used in previous literatures.
In this paper, we present a novel urban area extraction method for High Resolution (HR) Synthetic Aperture Radar (SAR) images based on an iterated Foreground/Background Separation (iFBS) framework. The performance of the proposed approach is presented and analyzed on a TerraSAR-X HR SAR experimental data set.
A radar imaging algorithm named reciprocal spectrum algorithm (RSA) is proposed in this paper to get higher resolution in azimuth direction with frequency sampling waveform. Theoretical analysis and simulation results show that the algorithm can give better performance than the tradition range Doppler algorithm (RDA) at the cost of peak value reduction at the object points in radar image.
A novel and efficient Synthetic Aperture Radar (SAR) processor is introduced in this paper. This new processor is implemented on the Graphics Processing Unit (GPU). GPU is traditionally used for graphics rendering, but in recent years, it has rapidly evolved as a highly-parallel processor with tremendous computation capability and ultra-high memory bandwidth. The algorithm of the new SAR processor...
Extracting effective and reliable features is fundamental and critical for constructing target recognition systems. Flexible Feature Processing Mechanism emphasizes the integration of feature extraction arithmetic and the self-adaptation of feature selection. On one hand, it would try to dig up the valuable information on as many as possible aspects, so as to construct the feature extraction method...
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