Investigating full-waveform lidar data for detection and recognition of vertical objects

American Society for Photogrammetry and Remote Sensing - ASPRS Annual Conference 2007: Identifying Geospatial Solutions

Volumn 2, Issue , 2007, Pages 516-525

  Parrish, Christopher E ^a   Scarpace, Frank L ^b  

^a National Geodetic Survey   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

3D WAVELETS; A-TRAIN; ANALYSIS SOFTWARES; AVERAGE NUMBERS; CURRENT PROCESSING; DISCRETE-RETURN LIDAR; EXPECTATION-MAXIMIZATION ALGORITHMS; FULL-WAVEFORM DATA; HIGH RESOLUTION; INTENSITY VALUES; LASER REFLECTION; LIDAR DATA; MULTI-RESOLUTIONS; OBJECT DETECTION; OBJECT EXTRACTION; ORDERS OF MAGNITUDE; POINT CLOUD; POINT DENSITY; SAMPLING FREQUENCIES; TOPOGRAPHIC LIDAR; TUNABLE PARAMETER; WAVE FORMS; WAVELET DOMAIN;

ALGORITHMS; REMOTE SENSING; TEMPLATE MATCHING;

OPTICAL RADAR;

EID: 84868626475     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

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