Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements
This book is a reprint of the Special Issue entitled "Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements" that was published in Remote Sensing, MDPI. It provides insights into both core technical challenges and some selected critical applications of satellit...
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| Format: | Online |
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| Idioma: | anglès |
| Publicat: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Accés en línia: | ONIX_20220812_9783036545929_9 |
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| _version_ | 1869528722034393088 |
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| collection | Directory of Open Access Books |
| description | This book is a reprint of the Special Issue entitled "Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements" that was published in Remote Sensing, MDPI. It provides insights into both core technical challenges and some selected critical applications of satellite remote sensing image analytics. |
| format | Online |
| id | doab-20.500.12854ir-91130 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-911302024-03-28T03:31:31Z Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements Das, Monidipa Ghosh, Soumya K. Chowdary, V. M. Mitra, Pabitra Rijal, Santosh scene classification teacher-student noisy labels knowledge distillation remote sensing images LightGBM spatiotemporal weight interpolation AOD recovery East Asia polarized SAR optical image random forest conditional random fields feature-level fusion Dirichlet process infinite mixture models Gamma distribution variational inference online setting oil spill detection synthetic aperture radar images GNSS-R CYGNSS high wind speed inversion SVR PCA-SVR CNN n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics This book is a reprint of the Special Issue entitled "Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements" that was published in Remote Sensing, MDPI. It provides insights into both core technical challenges and some selected critical applications of satellite remote sensing image analytics. 2022-08-12T12:43:33Z 2022-08-12T12:43:33Z 2022 book ONIX_20220812_9783036545929_9 9783036545929 9783036545912 https://directory.doabooks.org/handle/20.500.12854/91130 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/5763 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-4591-2 10.3390/books978-3-0365-4591-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036545929 9783036545912 112 Basel open access |
| spellingShingle | scene classification teacher-student noisy labels knowledge distillation remote sensing images LightGBM spatiotemporal weight interpolation AOD recovery East Asia polarized SAR optical image random forest conditional random fields feature-level fusion Dirichlet process infinite mixture models Gamma distribution variational inference online setting oil spill detection synthetic aperture radar images GNSS-R CYGNSS high wind speed inversion SVR PCA-SVR CNN n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements |
| title | Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements |
| title_full | Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements |
| title_fullStr | Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements |
| title_full_unstemmed | Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements |
| title_short | Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements |
| title_sort | statistical and machine learning models for remote sensing data mining recent advancements |
| topic | scene classification teacher-student noisy labels knowledge distillation remote sensing images LightGBM spatiotemporal weight interpolation AOD recovery East Asia polarized SAR optical image random forest conditional random fields feature-level fusion Dirichlet process infinite mixture models Gamma distribution variational inference online setting oil spill detection synthetic aperture radar images GNSS-R CYGNSS high wind speed inversion SVR PCA-SVR CNN n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics |
| topic_facet | scene classification teacher-student noisy labels knowledge distillation remote sensing images LightGBM spatiotemporal weight interpolation AOD recovery East Asia polarized SAR optical image random forest conditional random fields feature-level fusion Dirichlet process infinite mixture models Gamma distribution variational inference online setting oil spill detection synthetic aperture radar images GNSS-R CYGNSS high wind speed inversion SVR PCA-SVR CNN n/a thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVG Environmental economics |
| url | ONIX_20220812_9783036545929_9 |