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Textural Features for Hyperspectral Pixel Classification
(Springer Berlin Heidelberg, 2009)
Hyperspectral remote sensing provides data in large amounts from a wide range of wavelengths in the spectrum and the possibility of distinguish subtle differences in the image. For this reason, the process of band selection ...
Multi-spectral Texture Characterisation for Remote Sensing Image Segmentation
(Springer Berlin Heidelberg, 2009)
A multi-spectral texture characterisation model is proposed, the Multi-spectral Local Differences Texem – MLDT, as an affordable approach to be used in multi-spectral images that may contain large number of bands. The MLDT ...
Parallel Interconnection of Broadcast Systems with Multiple FIFO Channels
(Springer Berlin Heidelberg, 2009)
This paper proposes new protocols for the interconnection of FIFO- and causal-ordered broadcast systems, thus increasing their scalability. They use several interconnection links between systems, which avoids bottleneck ...
Scale Analysis of Several Filter Banks for Color Texture Classification
(Springer Berlin Heidelberg, 2009)
We present a study of the contribution of the different scales used by several feature extraction methods based on filter banks for color texture classification. Filter banks used for textural characterization purposes are ...
Mobile Application for Noise Pollution Monitoring through Gamification Techniques
(Springer Berlin Heidelberg, 2012)
Full data coverage of urban environments is crucial to monitor the status of the area to detect, for instance, trends and detrimental environmental changes. Collecting observations related to environmental factors such as ...
Mobile Access to Sensor Network: A Use Case on Wildfire Monitoring
(Springer International Publishing, 2014)
These networks provide large volumes of data in many different formats, resolution and scales. The data are of different types and character: from meteorological conditions to air quality and the concentrations of pollutants ...
A Heuristic Based on the Intrinsic Dimensionality for Reducing the Number of Cyclic DTW Comparisons in Shape Classification and Retrieval Using AESA
(Springer Berlin Heidelberg, 2012)
Cyclic Dynamic Time Warping (CDTW) is a good dissimilarity of shape descriptors of high dimensionality based on contours, but it is computationally expensive. For this reason, to perform recognition tasks, a method to ...
Relief Patterned-Tile Classification for Automatic Tessella Assembly
(Springer Berlin Heidelberg, 2010)
This paper presents the detection and classification part of an industrial machine for automated assembly of decorative tessellae over patterned tiles that have significant reliefs. The machine consists of two vision systems ...
Gait Recognition by Ranking
(Springer Berlin Heidelberg, 2012)
The advantage of gait over other biometrics such as face or fingerprint is that it can operate from a distance and without subject cooperation. However, this also makes gait subject to changes in various covariate conditions ...
Edited Nearest Neighbor Rule for Improving Neural Networks Classifications
(Springer Berlin Heidelberg, 2010)
The quality and size of the training data sets is a critical stage on the ability of the artificial neural networks to generalize the characteristics of the training examples. Several approaches are focused to form training ...