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

Lu, Lijun, Xie, Wenjun, Zhang, Jixian, Huang, Guoman, Li, Qiwei, Zhao, Zheng (2015) Woodland Extraction from High-Resolution CASMSAR Data Based on Dempster-Shafer Evidence Theory Fusion. Remote Sensing, 7 (4). doi:10.3390/rs70404068

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleWoodland Extraction from High-Resolution CASMSAR Data Based on Dempster-Shafer Evidence Theory Fusion
JournalRemote Sensing
AuthorsLu, LijunAuthor
Xie, WenjunAuthor
Zhang, JixianAuthor
Huang, GuomanAuthor
Li, QiweiAuthor
Zhao, ZhengAuthor
Year2015 (April 7)Volume7
Issue4
PublisherMDPI AG
DOIdoi:10.3390/rs70404068Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17804582Long-form Identifiermindat:1:5:17804582:1
GUID0
Full ReferenceLu, Lijun, Xie, Wenjun, Zhang, Jixian, Huang, Guoman, Li, Qiwei, Zhao, Zheng (2015) Woodland Extraction from High-Resolution CASMSAR Data Based on Dempster-Shafer Evidence Theory Fusion. Remote Sensing, 7 (4). doi:10.3390/rs70404068
Plain TextLu, Lijun, Xie, Wenjun, Zhang, Jixian, Huang, Guoman, Li, Qiwei, Zhao, Zheng (2015) Woodland Extraction from High-Resolution CASMSAR Data Based on Dempster-Shafer Evidence Theory Fusion. Remote Sensing, 7 (4). doi:10.3390/rs70404068
In(2015, April) Remote Sensing Vol. 7 (4). MDPI AG

See Also

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

Bangsong Wang, , Jixian Zhang, , Lijun Lu, , Guoman Huang, , Zheng Zhao, (2015) A Uniform SIFT-Like Algorithm for SAR Image Registration. IEEE Geoscience and Remote Sensing Letters, 12 (7) 1426-1430 doi:10.1109/lgrs.2015.2406336
Li, Xi, Yan, Li, Lu, Lijun, Huang, Guoman, Zhao, Zheng, Lu, Zechang (2021) Adjacent-Track InSAR Processing for Large-Scale Land Subsidence Monitoring in the Hebei Plain. Remote Sensing, 13 (4). doi:10.3390/rs13040795
Wei, Jujie, Zhang, Jixian, Huang, Guoman, Zhao, Zheng (2016) On the Use of Cross-Correlation between Volume Scattering and Helix Scattering from Polarimetric SAR Data for the Improvement of Ship Detection. Remote Sensing, 8 (1). doi:10.3390/rs8010074
Liao, Lu, Yang, Jie, Li, Pingxiang, Hua, Fenfen (2015) Polarimetric Calibration of CASMSAR P-Band Data Affected by Terrain Slopes Using a Dual-Band Data Fusion Technique. Remote Sensing, 7 (4). doi:10.3390/rs70404784
Luo, Hui, Liu, Chong, Wu, Chen, Guo, Xian (2018) Urban Change Detection Based on Dempster–Shafer Theory for Multitemporal Very High-Resolution Imagery. Remote Sensing, 10 (7). doi:10.3390/rs10070980
Wang, Mengmeng, Huang, Guoman, Zhang, Jixian, Hua, Fenfen, Lu, Lijun (2022) A Weighted Coherence Estimator for SAR Coherent Change Detection. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-12 doi:10.1109/tgrs.2022.3180044
Yang, Jinghui, Zhang, Jixian, Huang, Guoman (2014) A Parallel Computing Paradigm for Pan-Sharpening Algorithms of Remotely Sensed Images on a Multi-Core Computer. Remote Sensing, 6 (7). doi:10.3390/rs6076039
Huang, , Liu, , Wang, , Zheng, , Wang, , Ming, (2019) Change Detection of High Spatial Resolution Images Based on Region-Line Primitive Association Analysis and Evidence Fusion. Remote Sensing, 11 (21). doi:10.3390/rs11212484
Li, Liwei, Yan, Zhi, Shen, Qian, Cheng, Gang, Gao, Lianru, Zhang, Bing (2019) Water Body Extraction from Very High Spatial Resolution Remote Sensing Data Based on Fully Convolutional Networks. Remote Sensing, 11 (10). doi:10.3390/rs11101162
Han, Youkyung, Javed, Aisha, Jung, Sejung, Liu, Sicong (2020) Object-Based Change Detection of Very High Resolution Images by Fusing Pixel-Based Change Detection Results Using Weighted Dempster–Shafer Theory. Remote Sensing, 12 (6). doi:10.3390/rs12060983
Sun, Genyun, Huang, Hui, Zhang, Aizhu, Li, Feng, Zhao, Huimin, Fu, Hang (2019) Fusion of Multiscale Convolutional Neural Networks for Building Extraction in Very High-Resolution Images. Remote Sensing, 11 (3). doi:10.3390/rs11030227
 
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: August 28, 2025 19:34:52
Go to top of page