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Shackelford et al., 2003 - Google Patents

Urban road network extraction from high-resolution multispectral data

Shackelford et al., 2003

Document ID
2278477644413409694
Author
Shackelford A
Davis C
Publication year
Publication venue
2003 2nd GRSS/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas

External Links

Snippet

This paper presents a technique for urban road network extraction from high-resolution multispectral satellite imagery. The imagery is first classified using a pixel-based fuzzy classifier and the urban land cover classification are then further refined using an object …
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Classifications

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    • G06T2207/10—Image acquisition modality
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • G06K9/00657—Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas of vegetation
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    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • G06K9/4638—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by analysing connectivity relationships of elements of the pattern, e.g. by edge linking, by connected component or neighbouring slice analysis, by Markov Random Field [MRF] analysis
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