Xiangchun Liu1, Jing Yu2,Wei Song1, 3, *, Xinping Zhang1, Lizhi Zhao1, Antai Wang4
CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1385-1395, 2020, DOI:10.32604/cmc.2020.011308
Abstract With the development of satellite technology, the satellite imagery of the
earth’s surface and the whole surface makes it possible to survey surface resources and
master the dynamic changes of the earth with high efficiency and low consumption. As
an important tool for satellite remote sensing image processing, remote sensing image
classification has become a hot topic. According to the natural texture characteristics of
remote sensing images, this paper combines different texture features with the Extreme Learning Machine, and proposes a new remote sensing image classification algorithm.
The experimental tests are carried out through the standard test dataset SAT-4 and… More >
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