Revised progressive morphological method for ground point classification of airborne LiDAR data

• Main Authors: Mohd. Salleha, Mohd. Radhie, Abd. Rahman, Muhammad Zulkarnain, Ismail, Zamri, Abdul Khanan, Mohd. Faisal, Asmadi, Mohd. Asraff
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2019
• Subjects: TH434-437 Quantity surveying
• Online Access: http://eprints.utm.my/id/eprint/85117/1/MuhammadZulkarnainAbdRahman2019_RevisedProgressiveMorphologicalMethodforGround.pdf; http://eprints.utm.my/id/eprint/85117/; https://dx.doi.org/10.11113/ijbes.v6.n1-2.380

Airborne Light Detection and Ranging (LiDAR) has been very effectively used in collecting terrain information over different scales of area. Inevitably, filtering the non-ground returns is the major step of digital terrain model (DTM) generation and this step poses the greatest challenge especially...