Co-Feature and Shape Prior Based Saliency Analysis for Oil Tank Detection in Remote Sensing Images

Author(s):  
Congyang Liu ◽  
Libao Zhang ◽  
Shiyi Wang
2021 ◽  
Vol 13 (22) ◽  
pp. 4646
Author(s):  
Han Jiang ◽  
Yueting Zhang ◽  
Jiayi Guo ◽  
Fangfang Li ◽  
Yuxin Hu ◽  
...  

Object localization is an important application of remote sensing images and the basis of information extraction. The acquired accuracy is the key factor to improve the accuracy of object structure information inversion. The floating roof oil tank is a typical cylindrical artificial object, and its top cover fluctuates up and down with the change in oil storage. Taking the oil tank as an example, this study explores the localization by combining the traditional feature parameter method and convolutional neural networks (CNNs). In this study, an improved fast radial symmetry transform (FRST) algorithm called fast gradient modulus radial symmetry transform (FGMRST) is proposed and an approach based on FGMRST combined with CNN is proposed. It effectively adds the priori of circle features to the calculation process. Compared with only using CNN, it achieves higher precision localization with fewer network layers. The experimental results based on SkySat data show that the method can effectively improve the calculation accuracy and efficiency of the same order of magnitude network, and by increasing the network depth, the accuracy still has a significant improvement.


2015 ◽  
Vol 42 (1) ◽  
pp. 0114001 ◽  
Author(s):  
张立保 Zhang Libao ◽  
章珏 Zhang Jue

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