Statistical and Machine Learning Models for Remote Sensing Data Mining — Recent Advancements
| dc.contributor.author | Das, Monidipa | en |
| dc.contributor.author | Ghosh, Soumya K. | en |
| dc.contributor.author | Chowdary, Vemuri M. | en |
| dc.contributor.author | Mitra, Pabitra | en |
| dc.contributor.author | Rijal, Santosh | en |
| dc.date.accessioned | 2022-04-22T12:27:46Z | en |
| dc.date.available | 2022-04-22T12:27:46Z | en |
| dc.date.issued | 2022-04-15 | en |
| dc.date.updated | 2022-04-21T21:03:32Z | en |
| dc.description.abstract | During the last few decades, the remarkable progress in the field of satellite remote sensing (RS) technology has enabled us to capture coarse, moderate to high-resolution earth imagery on weekly, daily, and even hourly intervals [...] | en |
| dc.description.version | Published version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Das, M.; Ghosh, S.K.; Chowdary, V.M.; Mitra, P.; Rijal, S. Statistical and Machine Learning Models for Remote Sensing Data Mining — Recent Advancements. Remote Sens. 2022, 14, 1906. | en |
| dc.identifier.doi | https://doi.org/10.3390/rs14081906 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/109727 | en |
| dc.language.iso | en | en |
| dc.publisher | MDPI | en |
| dc.rights | Creative Commons Attribution 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
| dc.title | Statistical and Machine Learning Models for Remote Sensing Data Mining — Recent Advancements | en |
| dc.title.serial | Remote Sensing | en |
| dc.type | Article | en |
| dc.type.dcmitype | Text | en |