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Narenciye Aǧaçlarinin Sayisal Yüzey Modelinden Otomatik Bulunmasi

Translated title of the contribution: Automated detection of citrus trees from a digital surface model
  • Nevsehir Haci Bektas Veli Universitesi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, we present an approach to detect citrus trees from digitals surface models (DSMs) generated from Unmanned Aerial Vehicle (UAV). The symmetric characteristics of the citrus trees in a DSM are revealed by orientation-based radial symmetry transform. The method is tested on four UAV DSMs that have different planting characteristics of citrus orchards. The approach is compared with three previously developed approaches. Comparison to the state-of-the-art reveals that the proposed approach provides superior detection performances through supporting a nice balance between precision and recall measures.

Translated title of the contributionAutomated detection of citrus trees from a digital surface model
Original languageTurkish
Title of host publication2017 25th Signal Processing and Communications Applications Conference, SIU 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509064946
DOIs
Publication statusPublished - 27 Jun 2017
Externally publishedYes
Event25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey
Duration: 15 May 201718 May 2017

Publication series

Name2017 25th Signal Processing and Communications Applications Conference, SIU 2017

Conference

Conference25th Signal Processing and Communications Applications Conference, SIU 2017
Country/TerritoryTurkey
CityAntalya
Period15/05/1718/05/17

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