Coastal Zone Classification Based on Multisource Remote Sensing Imagery Fusion

The main objective of this paper was to assess the capability of multisource remote sensing imagery fusion for coastal zone classification. Five scenes of Gaofen- (GF-) 1 optic imagery and four scenes of synthetic aperture radar (SAR) (C-band Sentinel-1 and L-band ALOS-2) imagery were collected and...

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Bibliographic Details
Main Authors: Jiahui Li, Youxin Zhao, Jiguang Dai, Hong Zhu
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Journal of Sensors
Online Access:http://dx.doi.org/10.1155/2018/5902318