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River detection from SAR images plays an important role in civilian applications. A new method for river detection is proposed in this paper, which includes fuzzy clustering, wavelet transform and using snake model. River area can be extracted by clustering and morphological processing. Then the edge of river is extracted with the wavelet modulus maximum method (WTMM), and is smoothed by the snake...
In nonuniform situations, training data may not be representative of the disturbance in the Cell under Test (CUT) and the CA-CFAR exhibits strong degradations both in the detection performance as well as in the CFAR behaviour. Therefore a GIS-based training data selector and a statistical clutter edge selector are used to obtain homogeneous clutter field before the CFAR process. The simulation result...
A novel classification method based on 2-frequency pol-SAR images is proposed in this paper. The method uses the scattering properties varying with the changing of frequencies. The feature variation parameter and feature variation plane, which can be used for classification, are defined in this paper. The parameters ΔH and ΔA are used to construct classification plane, which is divided into 9 different...
A new combined feature is proposed based on polarimetric features extraction. Moreover, a new oil spills detection method is developed based on the combined feature and max entropy segmentation. The application to NASA/JPL SIR-C data shows that the new combined feature and detection method are effective to oil spills detection.
In this paper, based on the prior knowledge of chaotic character of sea clutter, we discuss a method for detection of small target in sea clutter using neural network as a predictor. Neural network can capture the dynamics of strange attractor generating sea clutter. After the reconstruction of real-life radar data, BP and RBF networks are regularized, and then a set of sample data from real-life...
The feasibility of applying chaotic features to the maritime target detection is studied in this paper. Experimental results on measured IPIX data shows that embedding dimension, box dimension and correlation dimension, which are not sensitive to the sea state, can reflect the difference between targets and clutter effectively. Such characteristics provide a new idea for further research in obtaining...
In this paper, a road extraction method in SAR images based on fuzzy clustering is proposed. First the Fuzzy C Means (FCM) algorithm is used to classify the image. And Hough Transform is applied in windows to get segment candidates, which increases the robust of the method. Then a fitness function is used to group the segments. The membership values of the connection lines are used to connect the...
A new approach is proposed for ship detection with SAR (Synthetics Aperture Radar) images based on the convolution between different polarimetric channels. The method takes advantages of different statistical behaviors among ships and surrounding ocean, interpreting the information through the convolution in order to provide a more reliable detection. The simulations show that the convolution is sensitive...
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