02742nam 2200769z- 450 991058594090332120231214133615.0(CKB)5600000000483073(oapen)https://directory.doabooks.org/handle/20.500.12854/91130(EXLCZ)99560000000048307320202208d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierStatistical and Machine Learning Models for Remote Sensing Data Mining - Recent AdvancementsBaselMDPI - Multidisciplinary Digital Publishing Institute20221 electronic resource (112 p.)3-0365-4592-1 3-0365-4591-3 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.Research & information: generalbicsscEnvironmental economicsbicsscscene classificationteacher-studentnoisy labelsknowledge distillationremote sensing imagesLightGBMspatiotemporal weight interpolationAOD recoveryEast Asiapolarized SARoptical imagerandom forestconditional random fieldsfeature-level fusionDirichlet processinfinite mixture modelsGamma distributionvariational inferenceonline settingoil spill detectionsynthetic aperture radar imagesGNSS-RCYGNSShigh wind speed inversionSVRPCA-SVRCNNResearch & information: generalEnvironmental economicsDas Monidipaedt976150Ghosh Soumya KedtChowdary V. MedtMitra PabitraedtRijal SantoshedtDas MonidipaothGhosh Soumya KothChowdary V. MothMitra PabitraothRijal SantoshothBOOK9910585940903321Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements3035979UNINA