Vote for your favorite mineral in #MinCup25! - Taenite vs. Nontronite
It's a mineral found mostly in the farthest reaches of space vs one so common an exhaustive list of localities is nigh impossible as alloy #taenite faces off against clay #nontronite.
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

Ma, Lei, Liu, Yu, Zhang, Xueliang, Ye, Yuanxin, Yin, Gaofei, Johnson, Brian Alan (2019) Deep learning in remote sensing applications: A meta-analysis and review. ISPRS Journal of Photogrammetry and Remote Sensing, 152. 166-177 doi:10.1016/j.isprsjprs.2019.04.015

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleDeep learning in remote sensing applications: A meta-analysis and review
JournalISPRS Journal of Photogrammetry and Remote Sensing
AuthorsMa, LeiAuthor
Liu, YuAuthor
Zhang, XueliangAuthor
Ye, YuanxinAuthor
Yin, GaofeiAuthor
Johnson, Brian AlanAuthor
Year2019 (June)Volume152
PublisherElsevier BV
DOIdoi:10.1016/j.isprsjprs.2019.04.015Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID14270103Long-form Identifiermindat:1:5:14270103:6
GUID0
Full ReferenceMa, Lei, Liu, Yu, Zhang, Xueliang, Ye, Yuanxin, Yin, Gaofei, Johnson, Brian Alan (2019) Deep learning in remote sensing applications: A meta-analysis and review. ISPRS Journal of Photogrammetry and Remote Sensing, 152. 166-177 doi:10.1016/j.isprsjprs.2019.04.015
Plain TextMa, Lei, Liu, Yu, Zhang, Xueliang, Ye, Yuanxin, Yin, Gaofei, Johnson, Brian Alan (2019) Deep learning in remote sensing applications: A meta-analysis and review. ISPRS Journal of Photogrammetry and Remote Sensing, 152. 166-177 doi:10.1016/j.isprsjprs.2019.04.015
In(2019) ISPRS Journal of Photogrammetry and Remote Sensing Vol. 152. Elsevier BV

See Also

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

Li, Liangzhi; Han, Ling; Ye, Yuanxin; Xiang, Yuming; Zhang, Tingyu (2025) Deep learning in remote sensing image matching: A survey. ISPRS Journal of Photogrammetry and Remote Sensing, 225. doi:10.1016/j.isprsjprs.2025.04.001
Heydari, Shahriar S., Mountrakis, Giorgos (2019) Meta-analysis of deep neural networks in remote sensing: A comparative study of mono-temporal classification to support vector machines. ISPRS Journal of Photogrammetry and Remote Sensing, 152. 192-210 doi:10.1016/j.isprsjprs.2019.04.016
Zhu, Bai, Ye, Yuanxin, Zhou, Liang, Li, Zhilin, Yin, Gaofei (2021) Robust registration of aerial images and LiDAR data using spatial constraints and Gabor structural features. ISPRS Journal of Photogrammetry and Remote Sensing, 181. 129-147 doi:10.1016/j.isprsjprs.2021.09.010
Tamiminia, Haifa, Salehi, Bahram, Mahdianpari, Masoud, Quackenbush, Lindi, Adeli, Sarina, Brisco, Brian (2020) Google Earth Engine for geo-big data applications: A meta-analysis and systematic review. ISPRS Journal of Photogrammetry and Remote Sensing, 164. 152-170 doi:10.1016/j.isprsjprs.2020.04.001
Yang, Qiaoqiao, Ni, Zihao, Ren, Peng (2022) Meta captioning: A meta learning based remote sensing image captioning framework. ISPRS Journal of Photogrammetry and Remote Sensing, 186. 190-200 doi:10.1016/j.isprsjprs.2022.02.001
Ghahremani, Morteza, Liu, Yonghuai, Yuen, Peter, Behera, Ardhendu (2019) Remote sensing image fusion via compressive sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 152. 34-48 doi:10.1016/j.isprsjprs.2019.04.001
Kotaridis, Ioannis, Lazaridou, Maria (2021) Remote sensing image segmentation advances: A meta-analysis. ISPRS Journal of Photogrammetry and Remote Sensing, 173. 309-322 doi:10.1016/j.isprsjprs.2021.01.020
Liu, Yinhe, Zhong, Yanfei, Shi, Sunan, Zhang, Liangpei (2024) Scale-aware deep reinforcement learning for high resolution remote sensing imagery classification. ISPRS Journal of Photogrammetry and Remote Sensing, 209. 296-311 doi:10.1016/j.isprsjprs.2024.01.013
Ye, Yuanxin, Shan, Jie (2014) A local descriptor based registration method for multispectral remote sensing images with non-linear intensity differences. ISPRS Journal of Photogrammetry and Remote Sensing, 90. 83-95 doi:10.1016/j.isprsjprs.2014.01.009
Ye, Yuanxin, Shan, Jie, Hao, Siyuan, Bruzzone, Lorenzo, Qin, Yao (2018) A local phase based invariant feature for remote sensing image matching. ISPRS Journal of Photogrammetry and Remote Sensing, 142. 205-221 doi:10.1016/j.isprsjprs.2018.06.010
Ma, Xiaofeng, Wang, Qunming, Tong, Xiaohua (2022) A spectral grouping-based deep learning model for haze removal of hyperspectral images. ISPRS Journal of Photogrammetry and Remote Sensing, 188. 177-189 doi:10.1016/j.isprsjprs.2022.04.007
 
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 Β© 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 15, 2025 18:13:05
Go to top of page