It is a high-resolution radar imaging is interdisciplinary and has wide interests among many various areas.In it remote sensing, Synthetic Aperture Radar images are widely usually used to map the land of the terrain.in defense industry, it type of radar imaging of moving objects is an important tool for automatic target recognition. In this review paper, we provide a comprehensive review of rec...

in recent years, synthetic aperture radar (sar) images have played an important role in the detection and monitoring of ground targets because of their advantages such as independence from climatic conditions and sensitivity to the target geometry. the complexity of sar imaging sensors, especially in the conversion process from raw data to image, has made it difficult to interpret the behavior ...

Recognition of occluded objects in synthetic aperture radar SAR images is a signi cant problem for automatic target recognition Stochastic models provide some attractive features for pattern matching and recognition under partial occlusion and noise In this paper we present a discrete hidden Markov modeling HMM based approach for recognizing objects in synthetic aperture radar SAR images We ide...

Due to the different imaging mechanism of optical image and Synthetic Aperture Radar (SAR) image, they have the large different characteristics between the images, so fusing optical image and SAR image with image fusion technology could complement advantages and be able to better interpret the scenes information. A fusion algorithm of Synthetic Aperture Radar and optical image with fast sparse ...

We propose a novel approach for generating high quality visible-like images from Synthetic Aperture Radar (SAR) images using Deep Convolutional Generative Adversarial Network (GAN) architectures. The proposed approach is based on a cascaded network of convolutional neural nets (CNNs) for despeckling and image colorization. The cascaded structure results in faster convergence during training and...

speckle is a granular disturbance in coherent images such as synthetic aperture radar (sar) images, modeled as a multiplicative noise. this noise degrades the sar image and complicates the image exploitation using automated image analysis techniques. several approaches have been developed to reduce the effect of speckle noise. recently, the application of compressed sensing (cs) is explored in ...

GB-SAR (Ground Based Synthetic Aperture Radar) for inspection of wooden and concrete walls and structures has been developed and the system was evaluated by test measurements. The GB-SAR system uses frequency bandwidth 1-10GHz, and it can acquire full polarimetric radar signal. Then Synthetic Aperture (SAR) Radar signal processing is used to reconstruct 3-dimenatioal images of inner structure o...

polarimetric synthetic aperture radar (pol.-sar) allows us to implement the recognition and classification of radar targets. this article investigates the arrangement of scatterers by sar data and proposes a new look-up table of region (ltr). this look-up table is based on the combination of (entropy h/anisotropy a) and (anisotropy a/scattering mechanism α), which has not been reported up now. ...

Inverse Synthetic Aperture Radar (ISAR) target images are extracted using compressed sensing methods. The extracted images are edited and merged into measured Synthetic Aperture Radar (SAR) images. A noise free image of the target is extracted from the Radar Cross Section (RCS) measurement by using the Basis Pursuit Denoise (BPDN) method and then solving for a model consisting of point scattere...