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In this paper, the results of polarimetric scattering measurement is presented to verify the efficiency of proposed man-made object detection algorithm. The polarimetric angular indices α and β are known to be effective for identification of well-regulated structures. However, the validity for detecting deformed structures is not clear. So the feature of α and β for the squint angle variation of deformed...
Oceanic shear front and convergent front are two types of oceanic front. Shear front and convergent front have different generating mechanisms resulting in different flow field which leads to the different SAR image features of them. In this paper, we derive the relationship of radar look direction angle with the hydrodynamic modulation, as well as it with the velocity bunching modulation. And the...
In this paper, we proposed a short-range ground surveillance FMCW (Frequency Modulated Continuous Wave) radar. For this work, we employed a 2D-FFT algorithm to detect moving targets, and a windowing scheme to reduce the distortion generated by frequency transition. Moreover, we designed a moving target finding method to extract moving targets from the remaining distortions. We developed a 24GHz FMCW...
Parameters estimation of internal waves is one of the most important applications of oceanic synthetic aperture radar (SAR) images. Several methods are widely applied to estimate internal waves parameters such as wavelet analysis method, curve fitting method and empirical mode decomposition (EMD) method. Most of these methods suppose the signals processed are affected by the additive random noise...
Because of the local deformation of SAR images Registration of Multiband SAR images with high accuracy(sub-pixel accuracy) is a very difficult problem. This paper present an automatic Coarse-to-Precise(global-to-local) subpixel registration framework to track it. Firstly, affine SIFT method is adopted to get affine parameter of global transformation between registered images. After global registration,...
For building shadow extraction from high-resolution synthetic aperture radar (SAR) data, traditional image processing methods cannot fundamentally overcome the high sidelobe interference of SAR images. In this paper, a novel technique is proposed via the combination of amplitude reversal and total variation (TV). Instead of SAR image processing, it uses SAR raw echo signal for sparse reconstruction...
Predicting building damages due to ground movements caused by subsidence phenomena is a great challenge in the field of Risk Management, moreover in the process of Disaster Risk Reduction. This damage assessment integrates measurements obtained from satellite SAR observations with an intermediate semi-empirical model, which schematizes buildings as equivalent laminated beams. These two fields have...
In this study, a practical methodology is presented to classify and map damaged buildings, following the 2013 Super Typhoon Haiyan, using high resolution synthetic aperture radar (SAR) images and post-event building damage data from Tacloban city, The Philippines. Considering the relationship of the radar layover extension between damaged and non-damaged structures, the method focuses on the changes...
Compressed Sensing (CS) theory has been widely used in radar signal processing field, and the reconstruction algorithm is the key to whether the original signal can be reconstructed from limited observations. However, the existing reconstruction algorithms either don't consider and remove the noise in signal reconstruction, or need the iterative estimation of noise variance during the signal reconstruction...
In the Fast Factorized Back Projection Algorithm [1], the 2D interpolation in the image domain is an essential procedure to obtain a fine resolution image which is achieved point by point. The computational burden is intensive [2]. This paper presents a modified FFBPA for the spotlight SAR imaging. In this algorithm, the coarse sub-images obtained by back projecting the sub-aperture signals to the...
In this study, Synthetic Aperture Radar images containing surface waves and coastal wave breaking were obtained in conjunction with reference in-situ data near the east coast of Hainan, China during the flight experiment for SAR application at land and sea in 2009. The surface wave spectra and the associated wave parameters retrieved from RADARSAT-2 images are compared with the observation from Wave...
This research presents the performance of the recently launched C-band Sentinel-1 and L-band ALOS-2 satellite missions for detecting forest clear-cuts and thinning in the winter season in coniferous and deciduous forests within Estonia. SAR data were acquired from September 2014 to April 2015 to analyze the cross-polarized backscatter dynamics over 76 stands before and after the logging event. Both...
Dynamic estimation in various synthetic aperture radar (SAR) applications often involves nonlinear models. The first-order Taylor approximation is usually used to linearize the nonlinear functions to perform estimation efficiently. However, the error generated by the first-order Taylor approximation cannot be negligible when dynamic systems are high nonlinearity or with large input errors. This paper...
In this paper, we propose a frequency coding waveform with segment linear frequency modulation (LFM) signal for the multiple-input multiple-output (MIMO) radar. This new waveform is modified from the discrete frequency coding waveform with LFM (DFC-LFM) by changing the subpulse from the LFM signal to segment LFM and extending the contiguous waveform to a pulse train. Compared to the existing frequency...
In this research, we held study on land deformation at eleven watersheds that influence the sedimentation around Jakarta strait using PSI technique of ALOS PALSAR images. The result shows that land deformation at Jawa Barat province, especially Bandung city area gives significant impact to sedimentation velocity along eastern Jakarta strait, especially deep seaport as new economic zone of Jakarta...
The proposed method realizes adaptive reduced-dimension processing based on joint optimization of both reduced-dimension matrix and beam-forming weight vector. Meanwhile, the spatial spectrum reconstruction technology is used to update the covariance matrix of array data online. The simulation results show that the proposed method is robust to the dimension of the reduced-dimension matrix and significantly...
In this paper the capabilities of the MetaSensing L band fully polarimetric airborne SAR system are presented by showing some results of vegetation classification applied to the SAR data. Acquisitions have been performed by flying over selected areas in The Netherlands, where ground truth was collected for validation. In addition, aerial pictures have been taken for comparison. The results are promising...
In Inverse Synthetic Aperture Radar (ISAR) imaging, with the increase of range and cross-range resolutions, scat-terers move through resolution (range and cross-range) cells even in short coherent processing interval. This limits the resolution obtained and degrades the image quality for the conventional Range-Doppler method. In this paper, the Migration Through Range Resolution Cell (MTRRC) is mitigated...
Similar to the conventional synthetic aperture radar (SAR) imaging processing, the estimation of Doppler chirp rate is one key problem for the multi-channel in azimuth high-resolution and wide-swath (HRWS) SAR system. At the same time, the accurate estimation of baseline in azimuth is also important for the reconstruction of ambiguity-free Doppler spectrum. In this paper, based on the Map Drift algorithm...
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