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The knowledge of the detailed structure of the scatterer using synthetic aperture radar (SAR) can only be possible if a complete description of the scene was available, which is impossible in practice. Therefore, it is necessary to average data to obtain estimates of useful precision. The statistical description presents a great interest since it allows predicting signal behavior. This paper deals...
Monitoring urban growth and change is an important issue for urban planning and disaster management. In this study, three temporal TerraSAR-X images are used to monitor the urban changes. The difference and correlation coefficient between two images are calculated with a sliding window. Then a new factor that composites the difference and correlation coefficient is proposed to detect the changes....
This paper addresses an adaptive coregistration method of synthetic aperture radar interferometry (InSAR) phase images. The method for adaptive coregistration of InSAR images is characterized by using multisource information and joint data fusion. We propose a strategy and criteria incorporating the weighted joint data information to evaluate the accuracy of the registered method by the using the...
Image matching is one of the key steps in Processing of InSAR. In order to improve the reliability and the rate of matching, a fast least squares matching algorithm with one-dimensional azimuth searching was proposed. The interferometric SAR images obtained by space-borne ERS-1/2 and by airborne dual-antenna system were employed to do experiments of matching. The results show that the proposed one-dimensional...
In this paper, an improved joint subspace projection method for synthetic aperture radar interferometry (InSAR) interferogram filtering is proposed. Benefiting from the new formulation of joint data vector, the method does not need to calculate the noise subspace dimension before estimating the InSAR interferometric phase, thus avoiding the effect on the estimation of the InSAR interferometric phase...
Traditional methods to extract water regions in SAR images usually rely on image binarization with a specified threshold. However, because of the inherent speckles in SAR images, finding an appropriate threshold is very difficult. In the paper, we propose a new method for water region extraction in SAR images using GLCM (gray-level co-occurrence matrix) based features combined with SVM (Supported...
This paper deals with the relevance of using stereoscopic radar images in order to retrieve the relief of terrain. Firstly, the basic characteristics of the radargrammetry are described. Thus, we present the results of the radargrammetric processing using the ZNCC procedure and applied to radar images. These images are recorded by the SIR-C mission over the French Alps. The results show that the image...
A high-contrast inpainting scheme based on the Complex Ginzburg-Landau equation recently applied successfully to image restoration is applied to SAR interferograms to improve their quality and therefore final quality of Digital Elevation Models (DEMs). The new technique attempts to recover the phase values in low coherence regions through diffusion and inpainting. After phase unwrapping low coherence...
A new multi-scale PolSAR data filtering technique, based on a Binary Partition Tree (BPT) representation of the data, is proposed. Different alternatives for the construction and the exploitation of the BPT for filtering and segmentation are presented. Results with simulated and experimental PolSAR data are presented to shown the capabilities of the BPT-filtering strategy to maintain both spatial...
This paper examines the benefits of using fully polarimetric SAR imagery for ship detection. There are three related aspects to the work. First, RadarSat-2 quad-pol stripmap imagery is used to compare the performance of various ship detection algorithms/methods. The comparison is based on the use of ROC curves. Second, circular spotlight SAR imagery is used to examine how detector performance varies...
A gamma-distributed texture in coherent imagery is widely applied on some fields such as description of texture characteristic and verification of classification algorithm. In this paper, a method based on spherically invariant random process for texture modeling in SAR imagery has been proposed, and the feasibility of modeling for gamma-distributed texture with SIRP is testified, the representation...
Speckle noise of Synthetic aperture radar (SAR) image and the azimuth sensitivity for imaging obstruct the interpretation and applications for SAR images. But it is very much remote sensing source because it can acquire data under all-day and all weather. Texture features reflect the spatial property of ground objects. If texture features change, in general the ground object does so. Therefore, this...
In order to get good SAR-GMTI (Synthetic Aperture Radar-Ground Moving Target Indicator) result, two pictures are demanded to be like at sub-pixel with registration method. This paper proposes a new image registration method, which combine genetic algorithm with traditional image registration algorithm, it uses Fourier algorithm in the pixel image registration, and combine genetic algorithm with amplitude...
This paper introduces a family of multivariate gamma distributions characterized by a Markovian correlation structure. These distributions are interesting for detecting changes between multi-temporal sequences of synthetic aperture radar images. The parameters of these distributions can be estimated by using the maximum likelihood principle. This estimation procedure allows one to obtain a change...
Phase unwrapping is the key problem in building the digital elevation model (DEM) of a scene from interferometric synthetic aperture radar (SAR) system data. In this paper, we propose a method of phase unwrapping based on the model of the multibaseline joint data group. The method can not only adaptively coregister the SAR images, but also accurately provide the accurate estimation of the terrain...
In present paper an attempt has been made for unsupervised classification of SAR images based on the surface roughness using multifractal technique. Surface roughness is measured with the help of fractal dimension (D), which lies in the range 2.0 and 3.0. Based on roughness values, i.e., D, various land classes are grouped in different classes. The D values are estimated for a number of local window...
In this paper a new nonlinear joint fusion and detection algorithm is proposed for locating anomalies from two different types of sensor data (synthetic aperture radar (SAR) and hyperspectral sensor (HS) data). The proposed approach jointly exploits the nonlinear correlation or dependencies between the two sensors in order to simultaneously fuse and detect the objects of interest (mines). A well-known...
This paper extends some first steps given in merging radar and rain gauge data for a better understanding of rainfall rate spatial structure. The study has been performed analyzing spatial correlation between sites within a densely meshed rain gauge network and also with their corresponding pixels in weather radar images.
Wavelet transform has the good characteristic of spatial and frequency locality, but it isnpsilat suitable for describing the signals, which have high dimensional singularities. Curvelet is one of new multiscale transform theories, which possess directionality and anisotropy, and it breaks some inherent limitations of wavelet in representing directions of edges in image. So when the curvelet transform...
Cross-correlation based image subtraction for detection of targets within an urban structure from synthetic aperture radar images is presented. In surveillance operations requiring re-imaging of the same scene, small displacements in array element locations may cause large phase and amplitude offsets. Subsequently, clutter will not cancel out, but will rather persist when subtracting two images, one...
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