

Author: Bruna Arcangelo Farinella Giovanni Maria Guarnera Giuseppe Claudio Battiato Sebastiano
Publisher: MDPI
E-ISSN: 1424-8220|13|2|2515-2529
ISSN: 1424-8220
Source: Sensors, Vol.13, Iss.2, 2013-02, pp. : 2515-2529
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Related content


Deep Learning for Detection of Object-Based Forgery in Advanced Video
By Yao Ye Shi Yunqing Weng Shaowei Guan Bo
Symmetry, Vol. 10, Iss. 1, 2017-12 ,pp. :






Saliency Detection and Deep Learning-Based Wildfire Identification in UAV Imagery
By Zhao Yi Ma Jiale Li Xiaohui Zhang Jie
Sensors, Vol. 18, Iss. 3, 2018-02 ,pp. :