Remote Sensing is both an active research area and the source of valuable information for decision-making. Many actors play a fundamental role in Sensing, from industry (public or private) to large small groups. From that intensive activity, methods, algorithms, techniques are continuously published broadcasted through papers, conference presentations, repositories, patents, standards, other means. The consumers need it be readily available dependable. Reproducible can handle those needs. In...

This paper discusses the numerical precision of five spreadsheets (Calc, Excel, Gnumeric, NeoOffice and Oleo) running on two hardware platforms (i386 amd64) three operating systems (Windows Vista, Ubuntu Intrepid Mac OS Leopard). The methodology consists checking number correct significant digits returned by each spreadsheet when computing sample mean, standard deviation, first-order autocorrelation, F statistic in ANOVA tests, linear nonlinear regression distribution functions. A discussion...

In this article we test the accuracy of three platforms used in computational modelling: MatLab, Octave and Scilab, running on i386 architecture operating systems (Windows, Ubuntu Mac OS). We submitted them to numerical tests using standard data sets functions provided by each platform. A Monte Carlo study was conducted some datasets order verify stability results with respect small departures from original input. propose a set operations which include computation matrix determinants...

A common assumption for Synthetic Aperture Radar (SAR) data, is that the intensity return from textureless areas follows a Gamma law with mean λ > 0 and L looks. Many image processing techniques need to estimate these parameters using small samples. Unfortunately, presence of discrepant observations in SAR data occurs frequently, even when dealing This mostly caused by strong backscatterer as case of, instance, corner reflector. Processing based on estimation sample distribution are highly...

A new generalized Statistical Complexity Measure (SCM) was proposed by Rosso et al in 2010. It is a functional that captures the notions of order/disorder and distance to an equilibrium distribution. The former computed measure entropy, while latter depends on definition stochastic divergence. When scene illuminated coherent radiation, image data corrupted speckle noise, as case ultrasound-B, sonar, laser Synthetic Aperture Radar (SAR) sensors. In amplitude intensity formats, this noise...

Polarimetric Synthetic Aperture Radar (PolSAR) images are establishing as an important source of information in remote sensing applications. The most complete format this type imaging produces consists complex-valued Hermitian matrices every image coordinate and, such, their visualization is challenging. They also suffer from speckle noise which reduces the signal-to-noise ratio. Smoothing techniques have been proposed literature aiming at preserving different features analogously,...

In this article we test the accuracy of three platforms used in computational modelling: MatLab, Octave and Scilab, running on i386 architecture operating systems (Windows, Ubuntu Mac OS). We submitted them to numerical tests using standard data sets functions provided by each platform. A Monte Carlo study was conducted some datasets order verify stability results with respect small departures from original input. propose a set operations which include computation matrix determinants...