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Road Extraction from High-resolution Remote Sensing Imagery Based on Mathematical Morphology

Author: WuXueWen
Tutor: ZuoLuMing
School: Fujian Normal University
Course: Cartography and Geographic Information Systems
Keywords: Mathematical Morphology High-resolution remote sensing images Structural elements Road Extraction
CLC: P237
Type: Master's thesis
Year: 2007
Downloads: 393
Quote: 7
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Abstract


In this paper, on the basis of in-depth understanding of the basic theory of mathematical morphology analysis of previous research , the first structure element attributes for mathematical morphology of its basic operator in-depth research , summed up the seven basic principles of structural elements selected . Second, the main problem for high - resolution remote sensing image road extraction in-depth analysis , feasibility and superiority of the proposed application of mathematical morphology and Matlab modeling tool in solving such problems . Finally, the proposed workflow Road Extraction of high-resolution remote sensing images using mathematical morphology , and empirical study based on real images ; further extracted for multi-level roads and buildings shadow ideas proposed to solve the truncation problem of road achieved good empirical results .

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CLC: > Astronomy,Earth Sciences > Surveying and Mapping > Photogrammetry and Surveying, Mapping and Remote Sensing > Surveying, Mapping and Remote Sensing technology
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