1. ScholarBank@NUS
  2. 1. Staff
  3. Staff Publications
Please use this identifier to cite or link to this item: https://doi.org/10.1109/IGARSS.2018.8517962
DC FieldValue
dc.titleTREE CROWN DETECTION AND DELINEATION USING OPTICAL SATELLITE IMAGERY
dc.contributor.authorHuang, Xiaojing
dc.contributor.authorShi, Chenghua
dc.contributor.authorLiew, Soo Chin
dc.date.accessioned2023-07-25T08:30:35Z
dc.date.available2023-07-25T08:30:35Z
dc.date.issued2018-01-01
dc.identifier.citationHuang, Xiaojing, Shi, Chenghua, Liew, Soo Chin (2018-01-01). TREE CROWN DETECTION AND DELINEATION USING OPTICAL SATELLITE IMAGERY. 38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018-July : 2944-2947. ScholarBank@NUS Repository. https://doi.org/10.1109/IGARSS.2018.8517962
dc.identifier.isbn9781538671504
dc.identifier.issn2153-6996
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/243442
dc.description.abstractAutomated individual tree crown detection and delineation (ITCD) is essential for forest mapping, sustainable urban planning and 3D city model. In this paper, ITCD using high-resolution optical Worldview-2 satellite imagery over Singapore is presented. The object-based multiresolution approach for tree mapping including tree positions, crown sizes and canopy gaps is described. Accuracy assessment is performed with ground truth data.
dc.publisherIEEE
dc.sourceElements
dc.subjectScience & Technology
dc.subjectTechnology
dc.subjectPhysical Sciences
dc.subjectEngineering, Electrical & Electronic
dc.subjectGeosciences, Multidisciplinary
dc.subjectRemote Sensing
dc.subjectEngineering
dc.subjectGeology
dc.subjecttree crown detection
dc.subjectcanopy
dc.subjecttree crown
dc.subjecthigh spatial resolution
dc.subjectobject based method
dc.typeConference Paper
dc.date.updated2023-07-25T07:43:41Z
dc.contributor.departmentCTR FOR REM IMAGING,SENSING & PROCESSING
dc.description.doi10.1109/IGARSS.2018.8517962
dc.description.sourcetitle38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
dc.description.volume2018-July
dc.description.page2944-2947
dc.published.statePublished
Appears in Collections:Staff Publications
Elements

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
2018_hxj_igarrs.pdf613.04 kBAdobe PDF

CLOSED

Published
R230725n14.pdf570.78 kBAdobe PDF

OPEN

Post-printView/Download

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.