Publication:
Forest stand segmentation with multi-temporal Sentinel-2 imagery and superpixels

Simple item page
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.department6c00d03a-6247-4119-afb3-5472671ef8dc
cris.virtualsource.departmentbba2ad54-38e3-44e8-9454-9b67b36a55cf
cris.virtualsource.orcid6c00d03a-6247-4119-afb3-5472671ef8dc
cris.virtualsource.orcidbba2ad54-38e3-44e8-9454-9b67b36a55cf
dc.contributor.authorCaner Demirpolat
dc.contributor.authorUgur Murat Leloglu
dc.date.accessioned2024-07-09T08:45:32Z
dc.date.available2024-07-09T08:45:32Z
dc.date.issued2024-03-26
dc.identifier.doi10.1117/1.JRS.18.014530
dc.identifier.urihttps://acikarsiv.thk.edu.tr/handle/123456789/1545
dc.publisherSPIE-Intl Soc Optical Eng
dc.relation.ispartofJournal of Applied Remote Sensing
dc.relation.issn1931-3195
dc.titleForest stand segmentation with multi-temporal Sentinel-2 imagery and superpixels
dc.typejournal-article
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume18

Files

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description:
Download

Collections

YÖK Akademik