Delineation of impervious surface from multispectral imagery and lidar incorporating Knowledge Based Expert System rules

Photogrammetric Engineering and Remote Sensing

Volumn 77, Issue 1, 2011, Pages 75-86

  Germaine, Kreh A ^a   Hung, Ming Chih ^b  

^a City of Scottsbluff   (United States)

^b NORTHWEST MISSOURI STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EXPERT SYSTEMS; OPTICAL RADAR; REMOTE SENSING; SURFACE MEASUREMENT;

CLASSIFICATION ACCURACY; HIGH SPATIAL RESOLUTION IMAGERY; IMPERVIOUS SURFACE; KNOWLEDGE-BASED EXPERT SYSTEMS; MULTI-SPECTRAL; MULTI-SPECTRAL IMAGERY; OVERALL ACCURACIES; SET OF RULES;

CLASSIFICATION (OF INFORMATION);

ACCURACY ASSESSMENT; BUILDING; DATA SET; IDENTIFICATION METHOD; IMAGE CLASSIFICATION; LIDAR; MEASUREMENT METHOD; MULTISPECTRAL IMAGE; SATELLITE DATA; SATELLITE IMAGERY; SLOPE; SPATIAL RESOLUTION; SPECTRAL ANALYSIS;

NEBRASKA; SCOTTSBLUFF; UNITED STATES;

EID: 79960353838     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: 10.14358/pers.77.1.75     Document Type: Article

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