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Nevertheless, the amount of data produced by sensors and equipments used in biomedicine, biotechnology and chemistry is usually quite huge and structured, thus strongly pushing the need of investigating advanced models and efficient computational algorithms for automating mass analysis procedures. Accordingly...
The SKICAT system automates the reduction and analysis of the three terabytes worth of images, expected to contain on the order of 2 billion sky objects. For the primary scientific analysis of these data, it is necessary to detect, measure, and classify every sky object. SKICAT integrates ...
In this paper, we describe a system capable of extracting textual information from images of structured documents. In particular the model and the algorithms we described are used to process forms in which the information fields can not be located only b
The presence of soil can introduce bias in the data extracted from the image. Therefore, removing soil from the image is one of the most important steps for image analysis in agricultural science. Function to use: fieldMask EX1.RemSoil <- fieldMask(mosaic = EX1, Red = 1, Green = 2, ...
Critically, the material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscientists engaged in any form of brain mapping; who have to contend with the real-world problems of data analysis ...
In the past decade, the field of medical image analysis has grown exponentially, with an increased number of pattern recognition tools and an increase in data set sizes. These advances have facilitated the development of processes for high-throughput extraction of quantitative features that result in...
Figure 1 shows the methodological pipeline employed for this analysis. First, road networks and aerial images were combined into one dataset of evenly spaced road segment points, which were further linked to RTC data. Then, a convolutional autoencoder (CAE), PCA, and hierarchical clustering are ...
Seasonal comparisons of sea ice concentration estimates derived from SSM/I, OKEAN, and RADARSAT data The Special Sensor Microwave Imager (SSM/I) microwave satellite radiometer and its predecessor SMMR are primary sources of information for global sea ice a... GI Belchansky,DC Douglas - 《Remote...
R. Cloude. The developed method of the identification of CSs based on the polarimetric signature analysis gave promising results. It enables not only an accurate identification of the CSs but also a determination of the type of scattering mechanism that is characteristic for each of them. 展开 ...