Changjiang Liu1, Xuling Wu2, Bing Mo1, Yi Zhang3
Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 671-678, 2018, DOI:10.31209/2018.100000033
Abstract With continuing commercialization of remote sensing satellites, the high
resolution remote sensing image has been increasingly used in various fields of
our life. However, processing technology of high resolution remote sensing
images is still a tough problem. How to extract useful information from the
massive information in high resolution remote sensing images is significant to
the subsequent process. A multi-phase oil tank recognition of remote sensing
images, namely coarse detection and artificial neural network (ANN)
recognition, is proposed. The experimental results of algorithms presented in
this paper show that the proposed processing technology is reliable and
effective. More >
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