02783nam 2200793z- 450 991058594090332120220812(CKB)5600000000483073(oapen)https://directory.doabooks.org/handle/20.500.12854/91130(oapen)doab91130(EXLCZ)99560000000048307320202208d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierStatistical and Machine Learning Models for Remote Sensing Data Mining - Recent AdvancementsBaselMDPI - Multidisciplinary Digital Publishing Institute20221 online 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.Environmental economicsbicsscResearch and information: generalbicsscAOD recoveryCNNconditional random fieldsCYGNSSDirichlet processEast Asiafeature-level fusionGamma distributionGNSS-Rhigh wind speed inversioninfinite mixture modelsknowledge distillationLightGBMn/anoisy labelsoil spill detectiononline settingoptical imagePCA-SVRpolarized SARrandom forestremote sensing imagesscene classificationspatiotemporal weight interpolationSVRsynthetic aperture radar imagesteacher-studentvariational inferenceEnvironmental economicsResearch and information: generalDas 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