Efficient Data-Driven Gap Filling of Satellite Image Time Series Using Deep Neural Networks with Partial ConvolutionsSource: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 002Author:Appel, Marius
DOI: 10.1175/AIES-D-22-0055.1Publisher: American Meteorological Society
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| contributor author | Appel, Marius | |
| date accessioned | 2024-12-24T13:51:08Z | |
| date available | 2024-12-24T13:51:08Z | |
| date copyright | 01 Apr. 2024 | |
| date issued | 2024 | |
| identifier other | aies-AIES-D-22-0055.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4299723 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Efficient Data-Driven Gap Filling of Satellite Image Time Series Using Deep Neural Networks with Partial Convolutions | |
| type | Journal Paper | |
| journal volume | 3 | |
| journal issue | 2 | |
| journal title | Artificial Intelligence for the Earth Systems | |
| identifier doi | 10.1175/AIES-D-22-0055.1 | |
| journal lastpage | 220055 | |
| tree | Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 002 | |
| contenttype | Fulltext |