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The detection and extraction of buildings using high resolution synthetic aperture radar (SAR) images has been the topic of recent discussions. In this paper, a framework for building extraction and classification is proposed. Buildings are classified into three kinds: commercial architecture, residential building and Industrial building, by the fusion of structure features (point-like, linear and...
The new advanced very high resolution (VHR) synthetic aperture radar (SAR) sensor is a kind of high-tech imaging radar developed rapidly in recent years, and it can get even less than 1 m high resolution SAR image. The feature of the VHR SAR image is different from the low or medium resolution SAR image and it contains more abundant information, so the traditional SAR image classification methods...
In 2013, the TerraSAR-X (TSX) mission was extended by implementing two new modes, including Staring SpotLight (ST). The azimuth resolution of this mode is significantly increased to approximately 0.24 m by widening the azimuth beam steering angle range. In this letter, five types of damaged buildings due to earthquake are analyzed using TSX images in the new ST mode. In particular, the characteristics...
Qinghai-Tibet Plateau (QTP) is often affected by climate change and anthropogenic activity. In this study, permafrost surface deformation is detected by time series InSAR method using high resolution TerraSAR-X images. In particularly, a sinusoidal function model is adopted in the parameter retrieving step for seasonal deformation extraction. The backscattering (σ°) of the main ground target types,...
Under the condition that the accuracy of the air-borne platform is unknown, an affine transformation model made up of unknown parameters such as rotation, scale and translation is proposed for Synthetic Aperture Radar (SAR) image geometric correction. These parameters in this model have real physical meanings compared to that in the traditional polynomial models. Based on the characteristics of geometric...
Synthetic aperture radar (SAR) interferometry (InSAR) is a powerful technology that can obtain highly precise elevation using phase information from different SAR images at different times. Conventional InSAR processing system suffers from the problem of processing time efficiency based on Personal Computer (PC). In this paper, a fast InSAR processing system based on DSP using TI's new generation...
Synthetic Aperture Radar (SAR) image simulation is one of the potential tools to investigate the features of man-made objects in high resolution SAR image. In this paper, we present a SAR imaging simulator based on ray tracing for high frequency electromagnetic scattering prediction of complex objects. Input of the simulator is three dimensional (3D) model of an object, such as a building, vessel...
Using synthetic aperture radar (SAR) for ship detection is a significant application for maritime monitoring and security. Ship detectors depress the disturbance from the sea surface such that the background consistently shows the sea pixels. However, in addition to water, the vast sea also contains other real objects, of which small islands are the most common. In this paper, we investigated the...
This paper proposes a new detector for interested object detection in high resolution SAR image. To obtain higher performance, four parameters are required to describe features of the interested object. Specifically, the parameters of segmentation scale and average expected object size are used for SAR image segmentation to get patches, which are small image parts to capture fine scale information...
Ship classification in high resolution SAR satellite imagery is a hotspot and preceding problem in SAR applications. According to the different features of cargo ship, oil tanker and container ship in high resolution SAR images, we propose a method to extract structure feature of three civilian ship types. Firstly, the morphological pre-processing is used for sidelobe suppression. Secondly, the main...
Because of the influence of object orientation, sensor parameters and environmental factors, objects in SAR images have high changeability when the images were formed. The complex environment makes it difficult to extract object features we aim at. In this paper we take aircraft for example, propose a method to extract object features in high resolution SAR images. The features involve SURF features,...
Vessel detection becomes more and more important applications of remote sensing. In this paper, a vessel detection method based on gravity enhancement and multi-scale processing was applied to Synthetic Aperture Radar (SAR) images. With the method, targets' pixels were enhanced by the interactions between themselves and their neighbors, while the speckle and background clutter were suppressed after...
This study presents a dynamic deformation retrieval method for differential synthetic aperture radar interferometry (DInSAR) processing. Detailed nonlinear displacement parameters are modeled and estimated for capturing the developing trends of ground movement both in time and space. In order to reduce the system disturbance errors such as atmospheres and platform deviations, the singular value decomposition...
Based on the clutter statistical characteristics of fully polarimetric SAR image, this paper presents a novel method for SAR change detection based on the heterogeneous clutter model. We use spherically invariant random vectors (SIRV) distribution model to fit the urban areas of full polarimetric images. Then, the degree of evolution between the statistical characteristics of multi temporal full SAR...
This paper presents a two-stage vessel recognition method based on structure feature of high resolution TerraSAR-X image. The vessel contains two categories, tanker and cargo ship. According to the different ship structure, the tanker includes tube showing tanker and no tube showing tanker, and the cargo ship includes closed rail cargo ship and open rail cargo ship. Because closed rail cargo ship...
Considering the variability of Synthetic Aperture Radar (SAR) imaging (different sensor, resolution) and complex condition of sea surface, the traditional single statistical model may be no longer a good choice to fit the distribution of actual sea clutter in SAR image. Based on the characteristic of Gamma distribution which is suitable to model uniform area, and G0 distribution which is adaptive...
Radarsat-2 satellite offers general users the Quad-Pol SAR image service with a resolution of 8 meters, which provides valuable data source for the research of traffic vehicles monitoring on Quad-Pol SAR images. According to the vehicle target in such new SAR images, this paper put forward a target characteristic analysis method, which is a combination of target RCS measurement and polarization decomposition...
This paper presents a SAR image change detection algorithm for urban areas which mainly contains three steps: (i) modeling the Synthetic Aperture Radar (SAR) image by G0 distribution; (ii) generating a change map by computing the Kullback-Leibler divergence; (iii) masking the change map to obtain the final change areas. We propose to use the second kind statistics based parameter estimation method...
Target discrimination is the key step of automatic target detection in synthetic aperture radar (SAR) images. Aiming at the issue of aircraft discrimination in high resolution SAR images, a novel discrimination method is proposed with using texture features. First of all the method of gray level co-occurrence matrix is used to generate eight discrimination texture features: mean, variance, deficit...
In this paper, we present a method for digital image stabilization based on Fourier-Mellin transform and phase correlation. We acquire the rotating angle and scaling factor firstly by phase correlation between Fourier-Mellin transform images of the reference and observed images. After rotating and scaling the observed image, implement the phase correlation again to compute the spacial translation...
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