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This paper presents a distributed algorithm for multi-spectral image segmentation. Regions of the image are processed separately and then the results are combined. For this, the algorithm employs two types of clustering algorithms, each specialized in its task and steered toward obtaining a final meaningful segmentation. The workers use an iterative clustering algorithm which is an extension of fuzzy...
Recently a new Grid-based software platform was developed to allow remote sensing image processing for preventing disasters like river floods and forest fires. While several innovative components were presented in research papers in the last year, this paper presents a state-of-the-art of the whole platform and exposes the novelty elements that distinguish it from other similar approaches.
This paper presents a solution for real-time satellite image processing. The focus is on the detection of changes in MODIS images. We present a distributed algorithm for change detection which is based on extracting relevant parameters from MODIS spectral bands. The algorithm detects the changes between two images of the same geographical area at different time moments. The algorithm, able to run...
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