Astronomical image segmentation by self-organizing neural networks and wavelets
Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences
SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Data-Intensive Text Processing with MapReduce
Data-Intensive Text Processing with MapReduce
Hadoop: The Definitive Guide
ISO Standards for Geographic Information
ISO Standards for Geographic Information
Mahout in Action
A novel kernelized fuzzy C-means algorithm with application in medical image segmentation
Artificial Intelligence in Medicine
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Geographic Information Systems (GIS) have gained popularity in recent years because they provide spatial data management and access through the Web. This article gives a detailed description of a tool that offers an integrated framework for the detection and localization of marine spills using remote sensing, GIS, and cloud computing. Advanced segmentation algorithms are presented in order to isolate dark areas in SAR images, including fuzzy clustering and wavelets. In addition, cloud computing is used for scaling up the algorithms and providing communication between users.