Classification of LIDAR data using a lower envelope follower and gradient-based operator

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 3, Issue , 2002, Pages 1384-1386

  Weed, Christopher A ^a   Crawford, Melba M ^a   Neuenschwander, Amy L ^a   Gutierrez, Roberto ^a  

^a The University of Texas at Austin   (United States)

Author keywords

Feature extraction; Image processing; LIDAR; Lower envelope follower

Indexed keywords

ALGORITHMS; ANEROID ALTIMETERS; BUILDINGS; FEATURE EXTRACTION; IMAGE PROCESSING; ITERATIVE METHODS; LASER PULSES; LIGHT REFLECTION; MAPPING; OPTICAL RADAR; RADAR IMAGING; VEGETATION;

AMPLITUDE MODULATED SIGNAL; LIGHT DETECTION AND RANGING; LOWER ENVELOPE FOLLOWER;

REMOTE SENSING;

PLANTS;

EID: 0036402627     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Gamba, P. and B. Houshmand, "Digital Surface Models and Building Extraction: A Comparison of IFSAR and LIDAR Data," IEEE Transactions on Geoscience and Remote Sensing, vol. 38, no. 4, July 2000.
2. Hyyppa, J., O. Kelle, M. Lehikoinen, and M. Inkinen, "A Segmentation-Based Method to Retrieve Stem Volume Estimates from 3-D Tree Height Models Produced by Laser Scanners," IEEE Transactions Geoscience Remote Sensing, vol. 39, no. 5, p. 969-975, May 2001.
3. Maas, H., G. Vosselman, "Two algorithms for extracting building models from raw laser altimetry data," ISPRS Journal of Photogrammetry & Remote Sensing, vol. 54, pp. 153-163, 1999.
4. Weed, C., "Classification of LIDAR Data Using a Lower Envelope Detector and Gradient Based Methods" (M.S. Thesis), Dept. of Operations Research and Industrial Engineering, The University of Texas at Austin, December, 2001.