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Comparing Deep Learning and MCWST Approaches for Individual Tree Crown Segmentation

Fan, Wen and Tian, Jiaojiao and Troles, Jonas and Döllerer, Martin and Kindu, Mengistie and Knoke, Thomas (2024) Comparing Deep Learning and MCWST Approaches for Individual Tree Crown Segmentation. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp. 67-73. 2024 ISPRS TC I Mid-term Symposium, 2024-05-13 - 2024-05-17, Changsha, China. doi: 10.5194/isprs-annals-X-1-2024-67-2024. ISSN 2194-9042.

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Official URL: https://doi.org/10.5194/isprs-annals-X-1-2024-67-2024


Item URL in elib:https://elib.dlr.de/206576/
Document Type:Conference or Workshop Item (Speech)
Title:Comparing Deep Learning and MCWST Approaches for Individual Tree Crown Segmentation
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Fan, WenUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Tian, JiaojiaoUNSPECIFIEDhttps://orcid.org/0000-0002-8407-5098UNSPECIFIED
Troles, JonasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Döllerer, MartinTUMUNSPECIFIEDUNSPECIFIED
Kindu, MengistieTUMUNSPECIFIEDUNSPECIFIED
Knoke, ThomasTUMUNSPECIFIEDUNSPECIFIED
Date:2024
Journal or Publication Title:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.5194/isprs-annals-X-1-2024-67-2024
Page Range:pp. 67-73
ISSN:2194-9042
Status:Published
Keywords:UAV imagery, Mask R-CNN, Levelset-Watershed, Individual tree crown segmentation, Instance segmentation.
Event Title:2024 ISPRS TC I Mid-term Symposium
Event Location:Changsha, China
Event Type:international Conference
Event Start Date:13 May 2024
Event End Date:17 May 2024
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Optical remote sensing, D - Digitaler Atlas 2.0
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By: Tian, Dr Jiaojiao
Deposited On:20 Sep 2024 08:03
Last Modified:11 Oct 2024 16:27

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