Zobrazeno 1 - 5
of 5
pro vyhledávání: '"progressive morphology"'
Autor:
Mohd Radhie Mohd Salleh, Muhammad Zulkarnain Abd Rahman, Zamri Ismail, Mohd Faisal Abdul Khanan, Mohd Asraff Asmadi
Publikováno v:
International Journal of Built Environment and Sustainability, Vol 6, Iss 1-2, Pp 1-8 (2019)
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
Externí odkaz:
https://doaj.org/article/1a5f5bf9cf284a14adcfec740a8790e9
Autor:
M. R. Mohd Salleh, Mohd Asmadi, Zamri Ismail, Mohd Faisal Abdul Khanan, Muhammad Zulkarnain Abd Rahman
Publikováno v:
International Journal of Built Environment and Sustainability, Vol 6, Iss 1-2, Pp 1-8 (2019)
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4023cd1da195f11a51fc20495b8e3333
https://ijbes.utm.my/index.php/ijbes/article/view/380
https://ijbes.utm.my/index.php/ijbes/article/view/380
Publikováno v:
Repositório Institucional da UFRJ
Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
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Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84bf89d9a29df28a89ce88cef8f0e88b
Autor:
Potter, Kody
Publikováno v:
T.W. "Doc" Daniel Experimental Forest
All Graduate Theses and Dissertations
All Graduate Theses and Dissertations
This thesis reviews algorithms that have been developed for classifying lidar data and identifies a progressive morphological filter for evaluation and improvement. Two potential weaknesses evaluated include the row-column order bias and grid orienta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2d93a6a19d24afdc218bd9aa3a3053b
Autor:
Potter, Kody
Publikováno v:
All Graduate Theses and Dissertations.
This thesis reviews algorithms that have been developed for classifying lidar data and identifies a progressive morphological filter for evaluation and improvement. Two potential weaknesses evaluated include the row-column order bias and grid orienta
Externí odkaz:
https://digitalcommons.usu.edu/etd/882
https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=1878&context=etd
https://digitalcommons.usu.edu/cgi/viewcontent.cgi?article=1878&context=etd