@Article{2018.100000033,
AUTHOR = {Changjiang Liu, Xuling Wu, Bing Mo, Yi Zhang},
TITLE = {Multi-phase Oil Tank Recognition for High Resolution Remote Sensing Images},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {24},
YEAR = {2018},
NUMBER = {3},
PAGES = {671--678},
URL = {http://www.techscience.com/iasc/v24n3/39791},
ISSN = {2326-005X},
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.},
DOI = {10.31209/2018.100000033}
}