About the book
At present, there is a tremendously growing quantity of data involving both video and image successions of dissimilar spatial, spectral and temporal resolutions, observe continuously the earth's surface. In these regards, immense streams of remote sensing earth observation data are being steadily gathered from diverse pioneering optical and radar sensors; terrestrial platforms; aerial; on-board satellites. In this understanding, novel computer vision and machine learning algorithms are necessitated regarding professionally dissecting to entirely utilize these datasets and timely present decisive knowledge for abundant, environmental, safety and security; and engineering applications. Consequently, effective conclusions can turn into a quick action for serving the varieties of the public.
This book aims at bridging between the latest advances and trends in computer vision, machine learning algorithms and remote sensing technology and applications. Its scope seek out concerted contributions from academia and industrial experts in the areas of remote sensing; computer vision, and remote sensing, signal processing, machine learning, and data science, and geoscience.