Vote for your favorite mineral in #MinCup25! - Jeremejevite vs. Haüyne
Are you ready for a battle of the blues? In a match of newcomers, volcanic gem hauyne is taking on rare jeremejevite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Fernando, Tharindu, Fookes, Clinton, Gammulle, Harshala, Denman, Simon, Sridharan, Sridha (2023) Toward On-Board Panoptic Segmentation of Multispectral Satellite Images. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-12 doi:10.1109/tgrs.2023.3268606

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleToward On-Board Panoptic Segmentation of Multispectral Satellite Images
JournalIEEE Transactions on Geoscience and Remote Sensing
AuthorsFernando, TharinduAuthor
Fookes, ClintonAuthor
Gammulle, HarshalaAuthor
Denman, SimonAuthor
Sridharan, SridhaAuthor
Year2023Volume61
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
DOIdoi:10.1109/tgrs.2023.3268606Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15829897Long-form Identifiermindat:1:5:15829897:1
GUID0
Full ReferenceFernando, Tharindu, Fookes, Clinton, Gammulle, Harshala, Denman, Simon, Sridharan, Sridha (2023) Toward On-Board Panoptic Segmentation of Multispectral Satellite Images. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-12 doi:10.1109/tgrs.2023.3268606
Plain TextFernando, Tharindu, Fookes, Clinton, Gammulle, Harshala, Denman, Simon, Sridharan, Sridha (2023) Toward On-Board Panoptic Segmentation of Multispectral Satellite Images. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-12 doi:10.1109/tgrs.2023.3268606
In(2023) IEEE Transactions on Geoscience and Remote Sensing Vol. 61. Institute of Electrical and Electronics Engineers (IEEE)

See Also

These are possibly similar items as determined by title/reference text matching only.

Gammulle, Harshala, Denman, Simon, Sridharan, Sridha, Fookes, Clinton (2020) Fine-grained action segmentation using the semi-supervised action GAN. Pattern Recognition, 98. 107039pp. doi:10.1016/j.patcog.2019.107039
Mohamed, Shaheer, Haghighat, Maryam, Fernando, Tharindu, Sridharan, Sridha, Fookes, Clinton, Moghadam, Peyman (2024) FactoFormer: Factorized Hyperspectral Transformers With Self-Supervised Pretraining. IEEE Transactions on Geoscience and Remote Sensing, 62. 1-14 doi:10.1109/tgrs.2023.3343392
Dissanayake, Theekshana, Fernando, Tharindu, Denman, Simon, Sridharan, Sridha, Fookes, Clinton (2023) Multi-stage stacked temporal convolution neural networks (MS-S-TCNs) for biosignal segmentation and anomaly localization. Pattern Recognition, 139. 109440 doi:10.1016/j.patcog.2023.109440
Fernando, Tharindu, Sridharan, Sridha, Denman, Simon, Fookes, Clinton (2022) Split ‘n’ merge net: A dynamic masking network for multi-task attention. Pattern Recognition, 126. 108551pp. doi:10.1016/j.patcog.2022.108551
Wang, Chen, Gu, Yanfeng, Li, Xian (2023) A Robust Multispectral Point Cloud Generation Method Based on 3-D Reconstruction From Multispectral Images. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-12 doi:10.1109/tgrs.2023.3326153
Long, Wei, Zhang, Yongjun, Cui, Zhongwei, Xu, Yujie, Zhang, Xuexue (2023) Threshold Attention Network for Semantic Segmentation of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-12 doi:10.1109/tgrs.2023.3276081
Dong, Zhe, Liu, Tianzhu, Gu, Yanfeng (2023) Spatial and Semantic Consistency Contrastive Learning for Self-Supervised Semantic Segmentation of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-12 doi:10.1109/tgrs.2023.3317016
Liu, Yuheng, Zhang, Yifan, Wang, Ye, Mei, Shaohui (2023) Rethinking Transformers for Semantic Segmentation of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-15 doi:10.1109/tgrs.2023.3302024
Li, Congyu, Liu, Xinxin, Li, Shutao (2023) Transformer Meets GAN: Cloud-Free Multispectral Image Reconstruction via Multisensor Data Fusion in Satellite Images. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-13 doi:10.1109/tgrs.2023.3326545
Zhao, Mingmin, Olsen, Peder, Chandra, Ranveer (2023) Seeing Through Clouds in Satellite Images. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-16 doi:10.1109/tgrs.2023.3239592
Khatun, Amena, Denman, Simon, Sridharan, Sridha, Fookes, Clinton (2023) Pose-driven attention-guided image generation for person re-Identification. Pattern Recognition, 137. 109246 doi:10.1016/j.patcog.2022.109246
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 3, 2025 09:59:58
Go to top of page