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"DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described in their own research. The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of: An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizations Perfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists."--Publisher.

Earth sciences --- Algorithms --- Study and teaching. --- Algorism --- Algebra --- Arithmetic --- Foundations --- earth sciences. --- climatology. --- data science. --- remote sensing. --- machine learning. --- apprendiment awtomatiku --- învățarea automată --- maskininlärning --- apprentissage automatique --- aprendizaje automático --- apprendimento automatico --- maschinelles Lernen --- machinaal leren --- strojové učenie --- mašinų mokymasis --- maskinlæring --- gépi tanulás --- masinõpe --- aprendizagem automática --- μηχανική μάθηση --- strojno učenje --- strojové učení --- mašīnmācīšanās --- uczenie się maszyn --- машинно самообучение --- meaisínfhoghlaim --- koneoppiminen --- underårig utan medföljande vuxen --- ensamkommande minderårig --- aprendizagem máquina --- maskinindlæring --- Fernerkundung --- даљинско очитавање --- teledetección --- teledetektion --- teledetekcja --- теледетекция --- fjärranalys --- diaľkový prieskum --- dálkový průzkum --- teledetectie --- teledeteção --- attālā uzrāde --- telediktim --- cianbhraiteacht --- távérzékelés --- nuotolinis aptikimas --- daljinsko zaznavanje --- kaugseire --- télédétection --- telerilevamento --- telerilevament --- τηλεανίχνευση --- далечинско лоцирање --- teledetecție --- daljinsko očitavanje --- kaukokartoitus --- τηλεπισκόπηση --- geolocalizzazione --- daljinsko čitanje --- sledování na dálku --- remote sensing --- teledetecção --- földrajzi helymeghatározás --- kontrole no attāluma --- fjernovervågning --- geolocalisation --- očitavanje na daljinu --- geolocalisatie --- družicový průzkum --- nuotolinis skaitymas --- γεωγραφικός εντοπισμός --- satellitlokalisering --- ģeolokalizācija --- geologinis vietos nustatymas --- geolocalização --- družicový snímek --- Geolokalisierung --- gjeolokalizim --- geopaikannus --- geodetecție --- géolocalisation --- наука за данните --- andmeteadus --- datavidenskab --- duomenų mokslas --- znanost o podacima --- ciência dos dados --- datatiede --- datawetenschap --- xjenza tad-data: --- science des données --- dátová veda --- podatkovne vede --- datová věda --- ciencia de datos --- Datenwissenschaft --- datu zinātne --- data science --- scienza dei dati --- nauka o danych --- επιστήμη δεδομένων --- știința datelor --- adattudomány --- gegevenswetenschap --- datavetenskap --- κλιματολογία --- климатология --- климатологија --- Klimatologie --- climatologie --- klimatologia --- climatologia --- klimatologi --- clíomeolaíocht --- klimatoloģija --- klimatologija --- éghajlattan --- klimatologie --- klimatoloogia --- climatología --- klimatológia --- klimatologji --- klimatoloġija --- věda o podnebí --- læren om klimaforhold --- наука за климата --- vědy o Zemi --- geovidenskaber --- domhaneolaíocht --- žemės mokslai --- геологични науки --- vede o Zemlji --- ciencias de la tierra --- науке о Земљи --- aardkunde --- sciences de la terre --- maankuorta tutkivat tieteet --- науки за Земјата --- bejjiegħ bl-imnut żgħir --- Geowissenschaften --- γεωλογικές επιστήμες --- földtudományok --- Zemes zinātnes --- ciências da Terra --- geovetenskap --- shkenca të tokës --- geoznanosti --- nauki o ziemi --- maateadused --- vedy o Zemi --- științele pământului --- geoscienze --- žemės mokslas --- ġeoxjenzi --- geoteadused --- nauky o Zemi --- атмосферски науки --- geovědy --- Machine learning. --- Sciences de la Terre. --- Apprentissage automatique. --- Data processing. --- xjenza tad-dinja