Remotely sensed big data: evolution in model development for information extraction [point of view]

Bing Zhang, Zhengchao Chen, Dailiang Peng, Jón Atli Benediktsson, Bo Liu, Lei Zou, Jun Li, Antonio Plaza

Abstract: Since the 1960s, remote sensing (as an innovative, comprehensive, and interdisciplinary academic area) has been adopted in a wide range of disciplines related to Earth observation, including hydrology, ecology, oceanography, glaciology, geology, military, intelligence, business, economy, and planning [1]-[3]. The constant development of the remote sensing image acquisition technology now allows for the collection of a wide variety of images with different characteristics and resolutions, obtained by remote sensing instruments mounted on spacecraft or aircraft platforms. These images record some type of signal or energy measured from the Earth's surface, which depends on the type of sensor used.