Synthetic Aperture Radar(SAR) ship recognition is significant in marine applications and plays an important role in maritime traffic management, fisheries management, and maritime rescue, etc. A major difficulty in SA...
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With the continuous development of optical remote sensing technology, the segmentation of high resolution remote sensing images has become a hot research field. The high resolution and complex remote sensing images ma...
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Infrared and visible image fusion is an important branch of image fusion technology. By combining the image information of two different bands, the human eye or machine can detect the target more comprehensively, quic...
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Recently, extensive convolutional neural network (CNN)-based methods have been used for real-time remote sensing image processing system. However, the huge storage requirement for model and input image bring a great c...
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In view of the central processing unit (CPU) platform processing performance limits on computationally intensive tasks, as well as the FPGA + DSP [1-3] platform of software and hardware of high coupling and difficult...
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In view of the central processing unit (CPU) platform processing performance limits on computationally intensive tasks, as well as the FPGA + DSP [1-3] platform of software and hardware of high coupling and difficult defects, using the graphics processor (GPU) powerful parallel computing power, the CPU and GPU pipeline technology, heterogeneous systems with multithreading, GPU more and more flow, such as strategy, puts forward the real-time signal processing system of the multiple perspectives analysis methods, make full use of the independence between modules and signal processing algorithm concurrency features within the *** experimental results show that, compared with the traditional MATLAB platform, the maximum acceleration ratio based on CPU-GPU heterogeneous platform can reach more than 20000, and the parallel architecture designed can fully meet the real-time requirements of radar signal processing.
Convolutional Neural Network (CNN) is an algorithm widely used in the field of deep learning. Due to the large number of intensive parallel data operations, the use of CPU to implement the CNN serially consumes too mu...
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In the multi-mode SAR imaging processing targeted in this paper, the FFT requirement granularity ranges from 1024 to 32768. Therefore, this paper mainly describes the method of implementing reconfigurable and variable...
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The architecture and processing algorithm of mainlobe interference suppression method is described for nulling the signal from mainlobe electronic jammer and multiple sidelobe electronic jammers while maintaining mono...
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This study analyses the radar fluctuating target detection in G0-distributed clutter using dynamic programming - track before detect (DP-TBD) algorithm. G0-distributed clutter is often used to fit the complex circumst...
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There are a large number of continuous line targets in the synthetic aperture radar (SAR) images of land scenes. The traditional SAR processing, which makes the continuous line targets becomes two point targets in tra...
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