THE USE OF ACTIVE CONTOURS FOR THE DETECTION OF COASTLINES IN SAR IMAGES: A MODULAR KNOWLEDGE-BASED FRAMEWORK Benjamin Seppke, Leonie Dreschler-Fischer, and Max Brauer University of Hamburg Department of Informatics Cogn

First Page		Document Content
Date: 2011-11-03 12:04:42 Artificial intelligence Segmentation Edge detection Canny edge detector Snake Image gradient Synthetic aperture radar Mathematical optimization Scale space Image processing Computer vision Active contour model		THE USE OF ACTIVE CONTOURS FOR THE DETECTION OF COASTLINES IN SAR IMAGES: A MODULAR KNOWLEDGE-BASED FRAMEWORK Benjamin Seppke, Leonie Dreschler-Fischer, and Max Brauer University of Hamburg Department of Informatics Cogn Add to Reading List Source URL: kogs-www.informatik.uni-hamburg.de Download Document from Source Website File Size: 1,97 MB Share Document on Facebook

	Large scale Sobolev inequalities on metric measure spaces and applications. Romain Tessera October 29, 2010 Abstract For functions on a metric measure space, we introduce a notion of DocID: 1xTnT - View Document
	Proceedings of the 11th Space Syntax Symposium #103 NATIONAL SCALE MODELLING TO TEST UK POPULATION GROWTH AND INFRASTRUCTURE SCENARIOS ED PARHAM DocID: 1ubiL - View Document
	Disserta(on Talk: Exploring the Design Space of Deep Convolu(onal Neural Networks at Large Scale Forrest Iandola DocID: 1tDZd - View Document
	7A.5 WRF-Chem simulation of deep convective transport in different scale storms using lightning data assimilation. Li, Yunyao, University of Maryland (UMD), Kenneth Pickering, National Aeronautics and Space Administ DocID: 1sjtX - View Document
	Journal of Learning Spaces Volume 1, NumberISSNPromoting Active Learning in Technology-Infused TILE Classrooms DocID: 1rnPR - View Document