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Area of application

Process flowsheets

Geo processor

Interferometric processor

Stereo processor

Image processing tools

Oil slicks detection processor

Ship detection processor

Sea waves analysis software tool

Polarimetric processor

Coherent change detection

Coherent co-registration

Quality estimation software tools

Detailed specifications



Image processing tools

Image Enhancement Tools

The radar data processing software package includes the following tools intended for image enhancement: speckle-noise filters and edge detection (detection of local brightness variables) ones.

 Speckle suppression

Suppression of speckle-noise on the radar images could be performed via different local linear and non-linear filters such as mean, median, Lee, Frost, Kuan, Sigma-filter. There is another tool that provide possibility to perform speckle-noise filtering using global approach. This filter is based on the wavelet decomposition with different basis (D4 Daubechies, CDF 9/7, CDF 11/7, Villasenor, Odegard). User's interface of local filters allows the selection of sliding window size.

 Edge detection

For wavelet filters, user's interface permits the exploiting of different number of decomposition levels and adjustment of weighting coefficients for particular level.


Edge detection tool includes number of processing algorithms (Sobel, Laplas, Prewitt, Kirsh, weighted, 3/5 gradation, vertical/horizontal shift, user defined mask and others). Both speckle filtering and edge detection interfaces have two windows: first one shows the input image quick-look and second shows the preview of processed subset. User can select the interesting area on input quick-look image interactively.

Feature Extraction Tools

 Texture analysis

Software tools intended for extraction specific information from the radar images. It allows user to detect difference texture characteristics of scene and to form number of surface classes over one or several input images under selected criteria. Set of input images could be compounded from multifrequency, multipolarization, or multitemporal acquisitions. All input images must be previously coregistrated and to have same sizes.

 MD Classifier

Software tool for classification allows to perform an estimation procedure under criteria of minimum distance. User's interface has possibility for selection of desirable metric (Euclidean, Mahalanobis, Bayesian metrics are realized currently), number of classes for which processing is executed, and number of processing iterations.

Textures analysis tool allows to extract the one-dimensional histogram statistics such as mean, entropy, standard deviation, energy, skewness, kurtosis and the two-dimension histogram statistics such as absolute value, entropy, contrast, energy, maximum probability. User can to change the size of sliding window and processing parameters (direction, distance). The quick-look of input file and the result of processing over interactively selected area can be viewed on interface.

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Last modified: 19.02.2018© Racurs, 2004-2018