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To explore the capability of quad polarimetric SAR images from a new pursuit monostatic mode of TerraSAR-X and TanDEM-X, a novel process chain for ship detection and velocity estimation is proposed in this paper. Compared with the classic processing chain used for single SAR image, more efficient techniques are integrated into this novel chain, which take advantage of the new image mode and its excellent...
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...
Technology for marine vessel monitoring and analysis combining Synthetic Aperture Radar (SAR) and Automatic Identification System (AIS) is presented in this paper. Detection results in SAR image are validated and analyzed with corresponding AIS information. In order to evaluate the performance of the techniques, nine ERS-2 SAR images covering the year 2007 and corresponding AIS polls are used. The...
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) 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...
Permafrost is sensitive to climate change and anthropogenic activities. The interferometric synthetic aperture radar (InSAR) is a new technology allowing us to explore the interaction between the permafrost change and human infrastructures. In this paper, the deformation of the Qinghai-Tibet Railway (QTR) in Beiluhe of the Tibet Plateau (TP) between Jun. and Dec. 2014 is detected using the new mode...
Generally speaking the permafrost in the Tibet region is influenced by the global climate change. The synthetic aperture radar interferometry (InSAR) could detect the surface uplift/subsidence in millimeter-level resolutions, which is powerful for the permafrost monitoring. In recent years, high-resolution synthetic aperture radar (SAR) with centimeter-level resolution makes it possible to explore...
In 2014, TerraSAR-X (TSX) mission were extended by implementing two new modes. One is Staring Spotlight (ST) mode. The ST mode increases the high geometric resolution of the standard High Resolution Spotlight product. By widening the azimuth beam steering angle range and therewith extending the synthetic aperture an azimuth resolution of 0.24 m can be achieved. In this paper, some types of damage...
This paper describes a new PolSAR decomposition approach based on the coherency matrix. In the new method, random scattering model representing forests scattering mechanism is proposed. Subtracted the random scattering component, the remainder coherency matrix is further decomposed into three orthogonal scattering mechanisms: surface, 0° and 45° dihedral scatterings, respectively. Then, the orthogonality...
Previous polarimetric synthetic aperture radar (PolSAR) images change detection methods are generally undertaken in the pixel scale, resulting in overlooking the semantic information. To solve this problem, this paper presents a superpixel-based PolSAR images change detection methods. Different from some previous methods, an improved SLIC superpixel segmentation method is introduced in polarimetric...
This paper propose a novel concept of the Extremal Scattering Regions (ESR) for registration of satellite SAR images without prerequisite acquisition parameters or projection correction. It is implemented in the multiscale framework. First, the ERS is extracted and used for primary registration in the coarse scale. Then, the mutual information is used to fine-tune the registration of the images in...
A method to estimate absolute phase of the target, and phase compensation for the coherence matrix are introduced in this paper. The absolute phase of a target relates with the generator of target local shape, and with the the attenuation coefficients of vertical and horizontal polarimetric wave. The effectiveness of phase compensation is validated via Yamaguchi decomposition with phase compensation...
In order to monitor the ground deformation due to coal mining, a new time-series InSAR technique combining PSs and DSs is presented in this paper. Firstly DSs are efficiently identified using classified information and statistical characteristics. Then a two-scale network is introduced into traditional PSI to deal with PSs and DSs. The proposed method is performed to investigate the subsidence of...
In the past decade, the compact/hybrid polarimetric SAR systems have been proposed and investigated, their potentials in remote sensing applications have been gradually accepted. The main object of this paper is to investigate the capability of hybrid polarimetric SAR data to detect objects with vertical structure, and in this paper, the high-voltage transmission towers detection is taken as an example...
In this paper, we propose a novel online learning classification algorithm, which is based on support vector machine (SVM) and approximate convex hull vertices selection. Considering the geometrical features of SVM, we can safely delete the samples inside the convex hulls. However, in general, if the dimension of the training data is high, most of the samples are the convex hull vertices and therefore...
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...
In this paper, vessel characterization is investigated using fully polarimetric Radarsat-2 SAR data. Polarimetric decompositions, including coherent decompositions, decomposition based on eigenvector analysis and model based decomposition, are applied to the quad-pol data to investigate vessel's scattering mechanism. Corresponding AIS and vessel photographs were acquired as ground truth data to facilitate...
In order to expand SAR application into vehicles monitoring, it is necessary to analysis and model the vehicle's characteristics under different SAR imaging conditions. In this paper, three typical trucks at different aspect angles were imaged by Radarsat-2 quad-polarimetric SAR image with different incidence angles in the field. RCS measurement and polarimetric decomposition were used to analysis...
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...
Vast marine area possesses over 3/4 of the global surface, where human activities occur more and more. Over 90% of imported crude oil in China is transported by oil tankers, which comprise the main part of vessel fleets in the China seas. Fishery is another human activity in the oceans, which is related to resource management and EEZ protection. Both maritime traffic and fishery law enforcement need...
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