A progressive morphological filter for removing nonground measurements from airborne LIDAR data

Journal article

Open access

Peer reviewed

KEQI Zhang, Shu-Ching Chen, Dean Whitman, Mei-Ling Shyu, JIANHUA Yan and CHENGCUI Zhang

IEEE transactions on geoscience and remote sensing, Vol.41(4), pp.872-882

2003

Abstract

Applied geophysics

Earth sciences

Earth, ocean, space

Engineering and environment geology. Geothermics

Exact sciences and technology

Internal geophysics

Natural hazards: prediction, damages, etc

url

https://doi.org/10.1109/TGRS.2003.810682View

Published (Version of record) Open

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Collaboration types: Domestic collaboration
Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.169 Remote Sensing; 4.169.1045 Lidar
Web Of Science research areas: Engineering, Electrical & Electronic; Geochemistry & Geophysics; Imaging Science & Photographic Technology; Remote Sensing
ESI research areas: Geosciences

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Source: InCites

Title: A progressive morphological filter for removing nonground measurements from airborne LIDAR data
Creators: KEQI Zhang - International Hurricane Center, Florida International University, Miami, FL 33199, United States
Shu-Ching Chen - Distributed Multimedia Information System Laboratory, School of Computer Science, Florida International University, Miami, FL 33199, United States
Dean Whitman - International Hurricane Center, Florida International University, Miami, FL 33199, United States
Mei-Ling Shyu - Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL 33124, United States
JIANHUA Yan - Distributed Multimedia Information System Laboratory, School of Computer Science, Florida International University, Miami, FL 33199, United States
CHENGCUI Zhang - Distributed Multimedia Information System Laboratory, School of Computer Science, Florida International University, Miami, FL 33199, United States
Publication Details: IEEE transactions on geoscience and remote sensing, Vol.41(4), pp.872-882
Publisher: Institute of Electrical and Electronics Engineers
Academic Unit: College of Engineering; CoE - Electrical & Computer Engineering
Language: English
Resource Type: Journal article
Record Identifier: 991031614369902976