Mingsheng Liao

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—An innovative constant false alarm rate (CFAR) algorithm was studied for ship detection using synthetic aperture radar (SAR) images of the sea. Two advances were achieved. An alpha-stable distribution rather than a traditional Weibull or K-distribution was used to model the distribution of sea clutter. The distribution of sea clutter in a SAR image was(More)
This paper describes an improved Constant False Alarm Rate (CFAR) ship detection algorithm in spaceborne synthetic aperture radar (SAR) image based on Alphastable distribution model. Typically, the CFAR algorithm uses the Gaussian distribution model to describe statistical characteristics of a SAR image background clutter. However, the Gaussian distribution(More)
After the Three Gorges Dam began to function in China in 2003, the water level of the Yangtze River in Three Gorges area raised more than 100 meters. The impact of the man-made reservoir caused by the dam on the surroundings is becoming object of several studies. In this paper we make use of two long term D-InSAR techniques, Quasi-Permanent Scatterer(More)
In this paper, an unsupervised change-detection approach was proposed to detect new urban areas from multi-temporal SAR images. The novelty of the proposed approach is the joint use of coherence and intensity characteristics of SAR imagery. The approach involves two main steps: (a) the extraction of difference feature containing information on changed(More)
In the areas with steep topography and vulnerable geological condition, landslide deformation monitoring is an important task for risk assessment and management. Differential Synthetic-Aperture Radar interferometry (D-InSAR) and Persistent Scatterer Interferometry (PS-InSAR) are two advanced SAR Interferometry techniques for detection, analysis and(More)
The new high-resolution synthetic aperture radar (SAR) satellite systems offer new possibilities for urban remote sensing. COSMO-SkyMed and TerraSAR-X operate in X-band and both can deliver data with a spatial resolution of up to one meter. High-resolution SAR data is particularly useful for post-disaster damage assessment and monitoring, because SAR(More)