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This paper displays a case study which accomplishes crop classification of simulated compact polarimetric (CP) SAR and fully polarimetric (FP) SAR images with Random Forest. Since the potential of CP SAR in classification has been illustrated by various researches, we intend to find out which of the polarimetric features are more superior in crop classification, through the importance rank of Random...
Ship classification with spaceborne high resolution synthetic aperture radar (SAR) has wide applications in maritime traffic monitoring, fishing law-enforcement operation, marine security, etc. Deep learning, which has the ability of learning features itself, is successfully used in computer vision and artificial intelligence, and introduced into remote sensing field in recent years. In this study,...
Change detection is a hot issue and is of great significance in remote sensing. The logarithm operation is a valid way to reduce the influence of multiplicative noise in the Synthetic Aperture Radar (SAR) image. However, changed areas with high gray level values will be weakened due to the nature of the logarithmic function. In this paper, a SAR image change detection framework based on visual attention...
Ship detection using synthetic aperture radar (SAR) is an important application in maritime transportation monitoring. However, azimuth ambiguities are inevitably caused by the undersampling of the echo signals, which can be easily mistaken as ship targets in the detection result. To solve the problem mentioned above, a fast object-oriented method for azimuth ambiguities removal based on quantitative...
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...
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...
A quantitative evaluation method of synthetic aperture radar (SAR) simulation image based on the KK distribution and the Kullback-Leiber (KL) divergence is introduced in order to evaluate the validity of SAR templates by theoretical modeling. Firstly, the histogram of SAR image is modeled with the KK distribution. And then, the symmetric KL distance between two probability distributions is defined...
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...
Polarimetric information can be used to characterize the target and benefit for ship classification in SAR image. In this paper, three types of features from fine quad-polarization Radarsat-2 SAR image, such as target to clutter ratio, distribution of scatter point, coherent decomposition component, are analyzed of three types of ships such as bulk carrier, container ship and oil tanker. Preliminary...
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...
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