Artificial Intelligence in Geoscience and Remote Sensing

摘要: Machine learning has recently found many applications in the geosciences and remote sensing. These range from bias correction to retrieval algorithms, code acceleration detection of disease crops. As a broad subfield artificial intelligence, machine is concerned with algorithms techniques that allow computers “learn”. The major focus extract information data automatically by computational statistical methods. Over last decade there been considerable progress developing methodology for variety Earth Science involving trace gases, retrievals, aerosol products, land surface vegetation indices, most recently, ocean products (Yi Prybutok, 1996, Atkinson Tatnall, 1997, Carpenter et al., Comrie, Chevallier 1998, Hyyppa Gardner Dorling, 1999, Lary 2004, 2007, Brown 2008, Aulov, Caselli 2009, 2009). Some this work even received special recognition as NASA Aura highlight (Lary 2007) commendation MODIS instrument team two types typically used are neural networks support vector machines. In chapter, we will review some examples how useful Geoscience sensing, these come author’s own research.