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Title : A BIOLOGICALLY AND GEOMETRICALLY INSPIRED APPROACH TO TARGET EXTRACTION FROM MULTIPLE-SOURCE REMOTE-SENSING IMAGERY
Company : The Ohio State University
File Name : yan.pdf
Size : 455011
Type : application/pdf
Date : 29-Aug-2010
Downloads : 5

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Featured Paper by

Lin Yan, Jiangye Yuan, Liang Cheng, DeLiang Wang and Ron Li

This paper presents the research results on the integration approach using a biologically inspired algorithm (LEGION) and a geometrically-inspired method (GAC) for target extraction from multiple-source remote-sensing imageries, specifically EO-1 Hyperion hyperspectral (30-meter resolution), and IKONOS multispectral (4-meter resolution) images. An automatic road-extraction algorithm based on LEGION (Locally Excitatory Globally Inhibitory Oscillator Networks, a neurocomputational framework for image segmentation) was developed to extract main roads from EO-1 Hyperion imagery.
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