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| Change detection using deep learning approach with object-based image analysis 期刊论文 Remote Sensing of Environment, 2021, 卷号: 256 作者: Liu T.; Yang L.; Lunga D.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:1/0  |  提交时间:2021/05/24 |
| Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach 期刊论文 Remote Sensing of Environment, 2021, 卷号: 261 作者: Du S.; Du S.; Liu B.; Zhang X.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:11/0  |  提交时间:2021/05/24 |
| Automated detection of rock glaciers using deep learning and object-based image analysis 期刊论文 Remote Sensing of Environment, 2020, 卷号: 250 作者: Robson B.A.; Bolch T.; MacDonell S.; Hölbling D.; Rastner P.; Schaffer N.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:22/0  |  提交时间:2021/05/24 |
| Water-related ecosystems' mapping and assessment based on remote sensing techniques and geospatial analysis: The SWOS national service case of the Greek Ramsar sites and their catchments 期刊论文 Remote Sensing of Environment, 2020, 卷号: 245 作者: Fitoka E.; Tompoulidou M.; Hatziiordanou L.; Apostolakis A.; Höfer R.; Weise K.; Ververis C.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:16/0  |  提交时间:2021/05/24 |
| Object-based random forest modelling of aboveground forest biomass outperforms a pixel-based approach in a heterogeneous and mountain tropical environment 期刊论文 International Journal of Applied Earth Observation and Geoinformation, 2019, 卷号: 78 作者: Silveira E.M.O.; Silva S.H.G.; Acerbi-Junior F.W.; Carvalho M.C.; Carvalho L.M.T.; Scolforo J.R.S.; Wulder M.A.
![](/themes/default/image/downing1.png) 收藏  |  浏览/下载:21/0  |  提交时间:2020/12/08 |
| Chemical and isotopic characteristics of methane in groundwater of Ohio, 2016 科技报告 报告编号: 70198512, , 2018 作者: Thomas, Mary Ann mathomas@usgs.gov
Adobe PDF(4291Kb)  |   收藏  |  浏览/下载:8/6  |  提交时间:2019/11/06 |